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Bridge Developer
Isamcapitalmarkets
iSAM is an innovative, financial technology firm specialising in quantitative trading, compromised of iSAM Funds and iSAM Securities. iSAM Securities regulated by the FCA, SFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group's bank Prime Brokers. iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios. The Role Within iSAM Securities, the Bridge front office team develops and supports an MT4/MT5/FIX bridge using sophisticated proprietary pricing, execution, and liquidity management solutions. We are currently undergoing a major re-engineering of this product and are looking for a mid-level Java developer (5-10 years' experience) to join our London team. We recruit engineers who take pride in building robust systems and are comfortable taking ownership in a demanding environment. We are a small team and we adopt a lean, rapid development cycle, so an open mind and willingness to learn are essential. We are agile in spirit, but we don't follow any ceremonies. We strongly believe in the power of collaboration, so the right personality is just as important as technical skills for this role (and for the Company in general). We are looking for a strong backend engineer who also takes an interest in the end product, including how it is used and presented. Depth in backend development is essential; front-end involvement is expected, but not at the expense of core engineering quality. In this sense, this is not a traditional "full-stack" position. Candidates primarily focused on front-end development are unlikely to be a good fit. Whilst this is primarily a development role, you will be expected to actively support production systems within a support rota. Finally, please note that this is an office-based position. Required Strong developers with excellent Java, Linux (scripting and command line), and SQL database skills. Proven ability to deliver well-tested, quality software. Willingness and ability to quickly learn new languages and technologies. Ability to design APIs with front-end consumers in mind. Comfort debugging issues across the stack (UI, API, database). Interest in trading and execution, a capacity to take on a variety of work. Strong communication skills, attention to detail, and the ability to adapt to a constantly changing financial environment. Preferred Experience with React or similar frameworks, including component-based design and state management. A pragmatic sense of UI/UX: you recognise good interfaces and know how to create one. Exposure to trading systems or financial markets.
16/07/2026
Full time
iSAM is an innovative, financial technology firm specialising in quantitative trading, compromised of iSAM Funds and iSAM Securities. iSAM Securities regulated by the FCA, SFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group's bank Prime Brokers. iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios. The Role Within iSAM Securities, the Bridge front office team develops and supports an MT4/MT5/FIX bridge using sophisticated proprietary pricing, execution, and liquidity management solutions. We are currently undergoing a major re-engineering of this product and are looking for a mid-level Java developer (5-10 years' experience) to join our London team. We recruit engineers who take pride in building robust systems and are comfortable taking ownership in a demanding environment. We are a small team and we adopt a lean, rapid development cycle, so an open mind and willingness to learn are essential. We are agile in spirit, but we don't follow any ceremonies. We strongly believe in the power of collaboration, so the right personality is just as important as technical skills for this role (and for the Company in general). We are looking for a strong backend engineer who also takes an interest in the end product, including how it is used and presented. Depth in backend development is essential; front-end involvement is expected, but not at the expense of core engineering quality. In this sense, this is not a traditional "full-stack" position. Candidates primarily focused on front-end development are unlikely to be a good fit. Whilst this is primarily a development role, you will be expected to actively support production systems within a support rota. Finally, please note that this is an office-based position. Required Strong developers with excellent Java, Linux (scripting and command line), and SQL database skills. Proven ability to deliver well-tested, quality software. Willingness and ability to quickly learn new languages and technologies. Ability to design APIs with front-end consumers in mind. Comfort debugging issues across the stack (UI, API, database). Interest in trading and execution, a capacity to take on a variety of work. Strong communication skills, attention to detail, and the ability to adapt to a constantly changing financial environment. Preferred Experience with React or similar frameworks, including component-based design and state management. A pragmatic sense of UI/UX: you recognise good interfaces and know how to create one. Exposure to trading systems or financial markets.
Data Scientist
Trades Workforce Solutions Leeds, Yorkshire
Data Engineer - Leeds (Hybrid) Gain experience with enterprise level projects at a "data-first" company that is free of legacy systems and corporate bureaucracy! The Opportunity: As a Data Engineer, you will build and maintain the pipelines and infrastructure that turn messy, high-volume data into clean, reliable inputs for the company's core platform. Because data is the product here, you won't be playing second fiddle to any other function; your work has a direct, visible line to what the business actually sells, and you'll be able to point to measurable impact quickly. There is zero legacy system maintenance in this role: the infrastructure is modern and cloud-native, so your time goes into solving real engineering problems rather than firefighting old technical debt. This is a hands on, mid level role suited to someone with a few years' commercial experience who wants genuine ownership rather than being one of many engineers in a large, siloed team. What You'll Be Doing Designing, building and maintaining ETL/ELT pipelines across structured and semi structured data sources Writing efficient, well tested SQL and Python to transform and model data at scale Working with modern cloud data warehousing tools to support analytics and machine learning workloads Collaborating closely with data scientists and analysts to ensure data is trustworthy, well documented and fit for purpose Monitoring, troubleshooting and improving data quality and pipeline performance Contributing ideas to the evolving data architecture as the platform scales Requirements Strong SQL skills, plus solid commercial experience with Python Experience building and maintaining data pipelines in a cloud environment (AWS, Azure, GCP or Snowflake) Exposure to FMCG or retail data, e.g., sales, loyalty, pricing, product or customer data, is desirable Must be based within a reasonable commutable distance to Leeds On Offer Salary up to £55,000 Annual Bonus Hybrid, flexible working 26 days annual leave + BH Fully paid day off per year to volunteer or support a charitable cause of your choice On demand training and an annual training budget Please note that only candidates within a reasonably commutable distance of Leeds, and full right to work will be considered.
16/07/2026
Full time
Data Engineer - Leeds (Hybrid) Gain experience with enterprise level projects at a "data-first" company that is free of legacy systems and corporate bureaucracy! The Opportunity: As a Data Engineer, you will build and maintain the pipelines and infrastructure that turn messy, high-volume data into clean, reliable inputs for the company's core platform. Because data is the product here, you won't be playing second fiddle to any other function; your work has a direct, visible line to what the business actually sells, and you'll be able to point to measurable impact quickly. There is zero legacy system maintenance in this role: the infrastructure is modern and cloud-native, so your time goes into solving real engineering problems rather than firefighting old technical debt. This is a hands on, mid level role suited to someone with a few years' commercial experience who wants genuine ownership rather than being one of many engineers in a large, siloed team. What You'll Be Doing Designing, building and maintaining ETL/ELT pipelines across structured and semi structured data sources Writing efficient, well tested SQL and Python to transform and model data at scale Working with modern cloud data warehousing tools to support analytics and machine learning workloads Collaborating closely with data scientists and analysts to ensure data is trustworthy, well documented and fit for purpose Monitoring, troubleshooting and improving data quality and pipeline performance Contributing ideas to the evolving data architecture as the platform scales Requirements Strong SQL skills, plus solid commercial experience with Python Experience building and maintaining data pipelines in a cloud environment (AWS, Azure, GCP or Snowflake) Exposure to FMCG or retail data, e.g., sales, loyalty, pricing, product or customer data, is desirable Must be based within a reasonable commutable distance to Leeds On Offer Salary up to £55,000 Annual Bonus Hybrid, flexible working 26 days annual leave + BH Fully paid day off per year to volunteer or support a charitable cause of your choice On demand training and an annual training budget Please note that only candidates within a reasonably commutable distance of Leeds, and full right to work will be considered.
Commercial & Digital Growth Manager
Hydraquip Ltd Leicester, Leicestershire
Hydraquip is the UK's largest independent Hose & Hydraulics company, built on the skill and commitment of our employees. Our continued growth means investment in training, career progression, and recognition for quality work. Why join Hydraquip? Competitive salary 20 days holiday + bank holidays, increasing with service, with the option to purchase up to 5 additional days each year Company pension, wellbeing support & access to a wide ranging employee benefits & rewards platform, including a paid volunteering day, Refer a Friend bonus and Cycle to Work scheme Full training and ongoing development provided Reporting to the Senior Marketing and Digital Partner, you will lead and grow our ecommerce business, identifying opportunities to increase sales, improve customer experience and drive commercial success. This is a hands on role suited to someone who enjoys combining digital expertise, commercial thinking and data analysis to deliver results. Key responsibilities include: Taking ownership of the ecommerce platform and delivering sustainable revenue growth. Developing and implementing customer acquisition, retention and trade account growth initiatives. Improving website performance, conversion rates and overall customer experience. Managing product information, pricing, catalogue structure and data accuracy. Analysing sales, customer and website data to identify commercial opportunities and support decision-making. Building and maintaining reporting dashboards, KPIs and management information. Utilising CRM, ERP and ecommerce systems to improve efficiency and commercial performance. Leading customer service and sales support activities to drive customer satisfaction and loyalty. Identifying new revenue opportunities, product categories and service offerings. Working with internal stakeholders, suppliers and external partners to deliver business growth initiatives. Essential Experience: Proven experience driving growth within a B2B ecommerce, sales or commercial environment. Demonstrable track record of delivering revenue growth and improving commercial performance. Strong commercial awareness and analytical skills. Experience developing customer acquisition and retention strategies. Experience managing product data, catalogues and ecommerce platforms. Proficient in using spreadsheets, CRM, ERP and ecommerce systems. Strong Google Analytics experience. Excellent communication, stakeholder management and organisational skills. Ability to manage multiple priorities and deliver measurable results. High attention to detail and commitment to data accuracy. Desirable Experience Experience within engineering, hydraulics, fluid power, industrial distribution or technical product sectors. Experience with Magento, Shopify, WooCommerce or similar ecommerce platforms. Knowledge of SEO, conversion optimisation and ecommerce best practices. Experience managing external agencies and third party partners. Understanding of AI, automation and digital transformation technologies.
16/07/2026
Full time
Hydraquip is the UK's largest independent Hose & Hydraulics company, built on the skill and commitment of our employees. Our continued growth means investment in training, career progression, and recognition for quality work. Why join Hydraquip? Competitive salary 20 days holiday + bank holidays, increasing with service, with the option to purchase up to 5 additional days each year Company pension, wellbeing support & access to a wide ranging employee benefits & rewards platform, including a paid volunteering day, Refer a Friend bonus and Cycle to Work scheme Full training and ongoing development provided Reporting to the Senior Marketing and Digital Partner, you will lead and grow our ecommerce business, identifying opportunities to increase sales, improve customer experience and drive commercial success. This is a hands on role suited to someone who enjoys combining digital expertise, commercial thinking and data analysis to deliver results. Key responsibilities include: Taking ownership of the ecommerce platform and delivering sustainable revenue growth. Developing and implementing customer acquisition, retention and trade account growth initiatives. Improving website performance, conversion rates and overall customer experience. Managing product information, pricing, catalogue structure and data accuracy. Analysing sales, customer and website data to identify commercial opportunities and support decision-making. Building and maintaining reporting dashboards, KPIs and management information. Utilising CRM, ERP and ecommerce systems to improve efficiency and commercial performance. Leading customer service and sales support activities to drive customer satisfaction and loyalty. Identifying new revenue opportunities, product categories and service offerings. Working with internal stakeholders, suppliers and external partners to deliver business growth initiatives. Essential Experience: Proven experience driving growth within a B2B ecommerce, sales or commercial environment. Demonstrable track record of delivering revenue growth and improving commercial performance. Strong commercial awareness and analytical skills. Experience developing customer acquisition and retention strategies. Experience managing product data, catalogues and ecommerce platforms. Proficient in using spreadsheets, CRM, ERP and ecommerce systems. Strong Google Analytics experience. Excellent communication, stakeholder management and organisational skills. Ability to manage multiple priorities and deliver measurable results. High attention to detail and commitment to data accuracy. Desirable Experience Experience within engineering, hydraulics, fluid power, industrial distribution or technical product sectors. Experience with Magento, Shopify, WooCommerce or similar ecommerce platforms. Knowledge of SEO, conversion optimisation and ecommerce best practices. Experience managing external agencies and third party partners. Understanding of AI, automation and digital transformation technologies.
Senior Business Analyst (London) - Contract
Insight Investment Group
We are looking for a Senior Business Analyst to join us in our London office. To succeed in this role you must be able to: face off to business teams, apply an organised, proactive approach to your work, ensure you add value to the team and constantly develop your business knowledge and awareness. Role Responsibilities: Work with the product owner and the business to develop and detail the product backlog in the form of Epics, Features and Stories. Help the business owners and teams to prioritise work. Excellent stakeholder engagement and management experience, including working with senior stakeholders such as Senior Portfolio Managers, with the ability to communicate effectively at a level and depth appropriate to the audience. Act as the communication channel between product owners, business owners and the Agile delivery team you work within. Contribute to the planning and execution of system and acceptance testing. Undertake JIT analysis and documentation to support the team's sprint activities. Be involved in all aspects of the software development lifecycle across different business areas within Insight. Build and maintain a good working relationship with the business representatives, working across teams and multiple sites. Experience Required: Skill in collecting and interpreting data, analysing results to identify patterns and trends in structured and unstructured data sets. Ability to apply suitable analytical approaches to requirements discovery, documentation and solution delivery. Excellent stakeholder engagement and management experience with the ability to effectively communicate at a level and depth appropriate to the audience. Demonstrable experience of gathering requests and technical specifications. Experience working in Agile delivery teams using Scrum or Kanban. Ability to review and advise on suitable changes to streamline processes, while identifying actual rather than perceived pain points. Participates in definition of cross-team initiatives for new processes / frameworks / architectures. Committed to and will take ownership for driving towards change initiative or solution. Will bring relevant teams together and leverage key stakeholders to achieve outcomes. Risk awareness A thirst for knowledge and curiosity to help solve complex problems with a keen eye for detail. A sense of personal responsibility and the drive to own problems, can work self-directed and independently to accomplish results. Knowledge in financial markets, pricing analytics for LDI/Fixed income instruments. Knowledge on Yield Curves and risk analytics such as PV01/IE01 Promotes a positive team culture. Identifies and implements ways to improve teamwork. Builds effective relationships throughout the organisation. Experience with reading and debugging SQL code Understanding of AI-enabled tools, technologies, and practical applications, with the ability to apply these appropriately within the role to enhance productivity, decision-making, or business outcomes. Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief, sexual orientation or other factors protected by federal, state and/or local laws. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at
16/07/2026
Full time
We are looking for a Senior Business Analyst to join us in our London office. To succeed in this role you must be able to: face off to business teams, apply an organised, proactive approach to your work, ensure you add value to the team and constantly develop your business knowledge and awareness. Role Responsibilities: Work with the product owner and the business to develop and detail the product backlog in the form of Epics, Features and Stories. Help the business owners and teams to prioritise work. Excellent stakeholder engagement and management experience, including working with senior stakeholders such as Senior Portfolio Managers, with the ability to communicate effectively at a level and depth appropriate to the audience. Act as the communication channel between product owners, business owners and the Agile delivery team you work within. Contribute to the planning and execution of system and acceptance testing. Undertake JIT analysis and documentation to support the team's sprint activities. Be involved in all aspects of the software development lifecycle across different business areas within Insight. Build and maintain a good working relationship with the business representatives, working across teams and multiple sites. Experience Required: Skill in collecting and interpreting data, analysing results to identify patterns and trends in structured and unstructured data sets. Ability to apply suitable analytical approaches to requirements discovery, documentation and solution delivery. Excellent stakeholder engagement and management experience with the ability to effectively communicate at a level and depth appropriate to the audience. Demonstrable experience of gathering requests and technical specifications. Experience working in Agile delivery teams using Scrum or Kanban. Ability to review and advise on suitable changes to streamline processes, while identifying actual rather than perceived pain points. Participates in definition of cross-team initiatives for new processes / frameworks / architectures. Committed to and will take ownership for driving towards change initiative or solution. Will bring relevant teams together and leverage key stakeholders to achieve outcomes. Risk awareness A thirst for knowledge and curiosity to help solve complex problems with a keen eye for detail. A sense of personal responsibility and the drive to own problems, can work self-directed and independently to accomplish results. Knowledge in financial markets, pricing analytics for LDI/Fixed income instruments. Knowledge on Yield Curves and risk analytics such as PV01/IE01 Promotes a positive team culture. Identifies and implements ways to improve teamwork. Builds effective relationships throughout the organisation. Experience with reading and debugging SQL code Understanding of AI-enabled tools, technologies, and practical applications, with the ability to apply these appropriately within the role to enhance productivity, decision-making, or business outcomes. Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief, sexual orientation or other factors protected by federal, state and/or local laws. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at
FX Risk - Lead Java Developer Vice President
Citibank (Switzerland) AG
For additional information, please review .Citi's Markets technology team is growing at lightning speed, and we're looking for talented technologists to help build the future of global banking. Our teams are creating innovations used across the globe. As the world's most global bank, Citi provides an opportunity to touch every corner of the globe and deal with incomparable trade volumes, scale and impact. We're looking for new, innovative ways to push the boundaries of financial technology. Citi's global technology team spans 84 countries, with almost 30,000 colleagues managing thousands of projects across the globe. Our team is young but rapidly growing. Join an environment with a laser focus on growth and progress and take your career to the next level through the power of Citi's unmatched globality and vast expertise. We are currently building FX Risk valuation platform for Citi. There is a set of old and new platforms that serve the Client's FX business in multiple countries by providing the ability for real-time derivatives pricing, risk management and data analytics. Our platform is starting to replace a set of the existing risk applications with new generation ones with web-based UI, server-side computing and grid technology, distributed in-memory solutions. The new application is going to serve traders, sales and external clients. Solution is scalable to cover multiple locations and meet latency requirements. Team is growing fast and now we are looking for a strong and motivated FX Risk Lead Java Developer. Key Responsibilities: Design, develop, and maintain Java-based microservices for high-throughput application Integrate and optimize Apache Ignite based solution: in memory data grid for FX trades processing Implement real time data ingestion and processing pipelines using Apache Kafka / Solace messaging Design and maintain robust Mongo DB / Oracle data models and queries for data persistence Ensure application scalability and reliability in cloud-hosted Linux based environment Collaborate with DevOps to containerize services and deploy using CI/CD pipelines Conduct performance tuning, code reviews, and troubleshooting production issues Document system architecture, design decisions, and development processes What we want from you: Strong hands-on experience with Core Java and multithreading in high load system Practice with JVM performance optimization and memory profiling Familiarity with distributed systems architecture and in-memory computing concepts Proven experience with in-memory caching solution Apache Ignite in production environment Solid experience with MongoDB (CRUD, indexing, performance tuning) Deep SQL knowledge and query optimization in Oracle database Solid understanding of messaging technologies Apache Kafka / Solace Proficiency in working with Linux environment and scripting Experience deploying and maintaining applications in cloud platforms (AWS, Azure, etc.) Passion to write code using TDD and be ready for L3 support and production release activities English B1 Qualifications: Experience in systems analysis and programming of software applications Experience in managing and implementing successful projects Working knowledge of consulting/project management techniques/methods Ability to work independently, multi-task, and take ownership of various parts of a project or initiative Nice-to-Have: Understanding business processes of investment banking area Knowledge of FX Risk valuation and pricing procedures Experience with FX trade processing Education: Bachelor's degree/University degree or equivalent experience What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.
16/07/2026
Full time
For additional information, please review .Citi's Markets technology team is growing at lightning speed, and we're looking for talented technologists to help build the future of global banking. Our teams are creating innovations used across the globe. As the world's most global bank, Citi provides an opportunity to touch every corner of the globe and deal with incomparable trade volumes, scale and impact. We're looking for new, innovative ways to push the boundaries of financial technology. Citi's global technology team spans 84 countries, with almost 30,000 colleagues managing thousands of projects across the globe. Our team is young but rapidly growing. Join an environment with a laser focus on growth and progress and take your career to the next level through the power of Citi's unmatched globality and vast expertise. We are currently building FX Risk valuation platform for Citi. There is a set of old and new platforms that serve the Client's FX business in multiple countries by providing the ability for real-time derivatives pricing, risk management and data analytics. Our platform is starting to replace a set of the existing risk applications with new generation ones with web-based UI, server-side computing and grid technology, distributed in-memory solutions. The new application is going to serve traders, sales and external clients. Solution is scalable to cover multiple locations and meet latency requirements. Team is growing fast and now we are looking for a strong and motivated FX Risk Lead Java Developer. Key Responsibilities: Design, develop, and maintain Java-based microservices for high-throughput application Integrate and optimize Apache Ignite based solution: in memory data grid for FX trades processing Implement real time data ingestion and processing pipelines using Apache Kafka / Solace messaging Design and maintain robust Mongo DB / Oracle data models and queries for data persistence Ensure application scalability and reliability in cloud-hosted Linux based environment Collaborate with DevOps to containerize services and deploy using CI/CD pipelines Conduct performance tuning, code reviews, and troubleshooting production issues Document system architecture, design decisions, and development processes What we want from you: Strong hands-on experience with Core Java and multithreading in high load system Practice with JVM performance optimization and memory profiling Familiarity with distributed systems architecture and in-memory computing concepts Proven experience with in-memory caching solution Apache Ignite in production environment Solid experience with MongoDB (CRUD, indexing, performance tuning) Deep SQL knowledge and query optimization in Oracle database Solid understanding of messaging technologies Apache Kafka / Solace Proficiency in working with Linux environment and scripting Experience deploying and maintaining applications in cloud platforms (AWS, Azure, etc.) Passion to write code using TDD and be ready for L3 support and production release activities English B1 Qualifications: Experience in systems analysis and programming of software applications Experience in managing and implementing successful projects Working knowledge of consulting/project management techniques/methods Ability to work independently, multi-task, and take ownership of various parts of a project or initiative Nice-to-Have: Understanding business processes of investment banking area Knowledge of FX Risk valuation and pricing procedures Experience with FX trade processing Education: Bachelor's degree/University degree or equivalent experience What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.
Data Analyst (Payments)
Teya
The Role We are looking for a Payments Data Analyst to join our London team. You will take ownership of the payments data layer, working at the intersection of Product, Commercial, and Engineering to ensure our acquiring business is measurable, scalable, and optimised for performance. You will be responsible for the end to end payments data lifecycle, from defining core metrics to delivering insights that improve authorisation rates, optimise margins, and support commercial decision making. This is a highly proactive role for someone who enjoys solving complex problems and driving impact through data. Responsibilities Domain Ownership: Act as the subject matter expert for the payments data lifecycle, covering authorisation, clearing, settlement, and reconciliation. Proactive Analysis: Go beyond standard reporting by delivering unprompted insights. Diagnose root causes of changes in authorisation rates and identify margin leakage driven by transaction mix or fee structures. Commercial & Product Partnership: Work closely with Product Managers to define success metrics for new features and support Commercial teams with merchant level profitability analysis and pricing scenarios. Data Architecture & Quality: Own the "single source of truth" for key payments metrics (volumes, revenue, margins). Collaborate with Engineering to define tracking requirements and proactively identify and resolve data gaps. Semantic Layer Development: Build and maintain a robust semantic layer on top of payments data, ensuring consistent metric definitions across the business and enabling AI driven workflows and Snowflake Cortex use cases. Self Service Strategy: Develop scalable data models in dbt and create Tableau dashboards that empower stakeholders to self serve insights, while you focus on deeper strategic analysis. Actionable Narratives: Translate complex terminal, POS, and e commerce data into clear, actionable insights for senior stakeholders to inform product roadmap and pricing decisions. Must Have 2+ years of experience in a Data Analytics role within Payments, Acquiring, or FinTech Strong understanding of the card transaction lifecycle (Authorisation, Clearing, Settlement) Familiarity with fee structures (Interchange, Scheme Fees, Blended vs IC+ pricing) Strong proficiency in SQL and Tableau (or equivalent BI tool) Hands on experience with dbt and data modelling Familiarity with Git and cloud data environments (e.g. Snowflake, AWS) Strong analytical mindset with a focus on root cause analysis and experimentation Excellent communication skills with the ability to influence cross functional stakeholders Nice to Have Experience working with Card Present / POS terminal data Knowledge of chargebacks and dispute processes Proficiency in Python for modelling or advanced analysis Experience with pricing optimisation or portfolio segmentation Exposure to international payment schemes and local payment methods The Perks Physical and mental health support through our partnership with GymPass, including access to gyms, therapy, meditation, and wellness apps Enhanced maternity and paternity leave policies for greater flexibility and support Cycle to Work Scheme Private Health and Life Insurance Pension Scheme 25 days annual leave + bank holidays Daily office snacks Friendly, collaborative, and informal office environment in Central London Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone, regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background, can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process, whether for interviews, assessments, or other parts of the application, we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.
15/07/2026
Full time
The Role We are looking for a Payments Data Analyst to join our London team. You will take ownership of the payments data layer, working at the intersection of Product, Commercial, and Engineering to ensure our acquiring business is measurable, scalable, and optimised for performance. You will be responsible for the end to end payments data lifecycle, from defining core metrics to delivering insights that improve authorisation rates, optimise margins, and support commercial decision making. This is a highly proactive role for someone who enjoys solving complex problems and driving impact through data. Responsibilities Domain Ownership: Act as the subject matter expert for the payments data lifecycle, covering authorisation, clearing, settlement, and reconciliation. Proactive Analysis: Go beyond standard reporting by delivering unprompted insights. Diagnose root causes of changes in authorisation rates and identify margin leakage driven by transaction mix or fee structures. Commercial & Product Partnership: Work closely with Product Managers to define success metrics for new features and support Commercial teams with merchant level profitability analysis and pricing scenarios. Data Architecture & Quality: Own the "single source of truth" for key payments metrics (volumes, revenue, margins). Collaborate with Engineering to define tracking requirements and proactively identify and resolve data gaps. Semantic Layer Development: Build and maintain a robust semantic layer on top of payments data, ensuring consistent metric definitions across the business and enabling AI driven workflows and Snowflake Cortex use cases. Self Service Strategy: Develop scalable data models in dbt and create Tableau dashboards that empower stakeholders to self serve insights, while you focus on deeper strategic analysis. Actionable Narratives: Translate complex terminal, POS, and e commerce data into clear, actionable insights for senior stakeholders to inform product roadmap and pricing decisions. Must Have 2+ years of experience in a Data Analytics role within Payments, Acquiring, or FinTech Strong understanding of the card transaction lifecycle (Authorisation, Clearing, Settlement) Familiarity with fee structures (Interchange, Scheme Fees, Blended vs IC+ pricing) Strong proficiency in SQL and Tableau (or equivalent BI tool) Hands on experience with dbt and data modelling Familiarity with Git and cloud data environments (e.g. Snowflake, AWS) Strong analytical mindset with a focus on root cause analysis and experimentation Excellent communication skills with the ability to influence cross functional stakeholders Nice to Have Experience working with Card Present / POS terminal data Knowledge of chargebacks and dispute processes Proficiency in Python for modelling or advanced analysis Experience with pricing optimisation or portfolio segmentation Exposure to international payment schemes and local payment methods The Perks Physical and mental health support through our partnership with GymPass, including access to gyms, therapy, meditation, and wellness apps Enhanced maternity and paternity leave policies for greater flexibility and support Cycle to Work Scheme Private Health and Life Insurance Pension Scheme 25 days annual leave + bank holidays Daily office snacks Friendly, collaborative, and informal office environment in Central London Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone, regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background, can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process, whether for interviews, assessments, or other parts of the application, we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.
DTC Lead UK & Ireland - SodaStream
PepsiCo Deutschland GmbH
Overview SodaStream is the world's sparkling water brand and a global leader in producing home sparkling water makers. With products sold in over 46 countries, we're passionate about replacing plastic waste and offering consumers a healthier, more sustainable beverage option. SodaStream is part of the PepsiCo product family, which supports the PepsiCo Positive (pep+) initiative and champions strong business and social values to lead positive change. At SodaStream, we put the planet and people first - to help create a better, more sustainable future for generations to come. Want to change the way the world drinks? We're looking for a dynamic DTC Lead to own and accelerate the performance of our Direct-to-Consumer (DTC) channel in the UK & Ireland. This role is a key growth driver for the business, responsible for defining the DTC strategy, and leading the commercial, product, and customer experience roadmap. You'll work cross-functionally to shape how we acquire, convert, and retain customers in a way that delivers profitable growth and outstanding brand experiences. This role will report directly into the North Europe Head of eCommerce, with a dotted line into the UK&I Sales Director. They will work closely with the Growth Marketing Lead, briefing them on activation needs for the channel. Responsibilities What will your workday look like? DTC Channel Strategy & Leadership Set the strategic direction for the UK &I DTC channel, defining how we win across acquisition, retention, value growth, and customer experience. Build a clear channel proposition that differentiates our DTC from other channels, tailored to the needs and expectations of our DTC shopper. Leverage data and behavioural insight to deeply understand our online customer - identifying patterns, friction points, and growth levers across the funnel. Define and optimise the DTC product strategy, including which SKUs, bundles, exclusives, or formats we offer - ensuring the range delivers incremental value and meets consumer needs. Own the pricing and promotional architecture, balancing competitiveness, profitability, and brand integrity. Website UX Management Act as the owner of the UK &I Shopify storefronts, accountable for the site's performance, navigation, content, and UX across desktop and mobile. Build and deliver a local roadmap of site development and optimisation projects including UX upgrades, new features, landing pages, and merchandising improvements - working with internal and external partners as needed. Identify and evaluate new growth levers - from subscriptions and loyalty programs to value-added services and emerging digital commerce models. Plan and oversee A/B and multivariate testing programmes, using results to improve conversion rates, product discoverability, and checkout flow. Ensure product accuracy and content quality across the site at all times, briefing and collaborating with the relevant teams to deliver timely updates. Partner with Customer Care and Operations to deliver a seamless post purchase experience, ensuring policies (e.g., delivery, returns, subscriptions) are clear, customer friendly, and aligned with brand standards. Commercial Excellence Own the DTC P&L, taking accountability for commercial performance across revenue, conversion, margin, AOV, retention, and CLTV. Lead sales forecasting and target setting for the DTC channel, ensuring alignment with campaign plans, seasonal trends, and trading opportunities. Own the DTC promotional planning calendar, aligning to the overall marketing plans and seasonal activity. Ensure relevant, timely reporting to key stakeholders on DTC performance with clear updates, risks and opportunities. Collaborate with analytics stakeholders to build dashboards and performance reports, using data from Shopify, Google Analytics 4 (GA4), and internal tools. Translate insights into actions and prioritisation, informing site improvements, promotional planning, customer journey refinements, and media briefing. Qualifications 7+ years' experience in e commerce, digital marketing, or DTC roles - ideally within FMCG, consumer electronics, or fast paced DTC environments. Hands on experience with Shopify, Google Analytics (GA4), Tag Manager, and working knowledge of CRM platforms like Klaviyo. Strong track record of developing digital channel strategies, driving customer acquisition and retention, and delivering against commercial KPIs. Highly analytical, with the ability to interpret data and translate it into actionable strategies. Excellent cross functional collaboration skills, with experience working closely with marketing, sales, operations, and customer care. A customer first thinker who can balance user experience with commercial performance. Strong project management and prioritisation skills - comfortable owning a roadmap while managing multiple stakeholders. Key Behaviours Entrepreneurial Growth minded Consumer obsessed Data driven Accountable Courageous in decision making Curious and continuously learning
15/07/2026
Full time
Overview SodaStream is the world's sparkling water brand and a global leader in producing home sparkling water makers. With products sold in over 46 countries, we're passionate about replacing plastic waste and offering consumers a healthier, more sustainable beverage option. SodaStream is part of the PepsiCo product family, which supports the PepsiCo Positive (pep+) initiative and champions strong business and social values to lead positive change. At SodaStream, we put the planet and people first - to help create a better, more sustainable future for generations to come. Want to change the way the world drinks? We're looking for a dynamic DTC Lead to own and accelerate the performance of our Direct-to-Consumer (DTC) channel in the UK & Ireland. This role is a key growth driver for the business, responsible for defining the DTC strategy, and leading the commercial, product, and customer experience roadmap. You'll work cross-functionally to shape how we acquire, convert, and retain customers in a way that delivers profitable growth and outstanding brand experiences. This role will report directly into the North Europe Head of eCommerce, with a dotted line into the UK&I Sales Director. They will work closely with the Growth Marketing Lead, briefing them on activation needs for the channel. Responsibilities What will your workday look like? DTC Channel Strategy & Leadership Set the strategic direction for the UK &I DTC channel, defining how we win across acquisition, retention, value growth, and customer experience. Build a clear channel proposition that differentiates our DTC from other channels, tailored to the needs and expectations of our DTC shopper. Leverage data and behavioural insight to deeply understand our online customer - identifying patterns, friction points, and growth levers across the funnel. Define and optimise the DTC product strategy, including which SKUs, bundles, exclusives, or formats we offer - ensuring the range delivers incremental value and meets consumer needs. Own the pricing and promotional architecture, balancing competitiveness, profitability, and brand integrity. Website UX Management Act as the owner of the UK &I Shopify storefronts, accountable for the site's performance, navigation, content, and UX across desktop and mobile. Build and deliver a local roadmap of site development and optimisation projects including UX upgrades, new features, landing pages, and merchandising improvements - working with internal and external partners as needed. Identify and evaluate new growth levers - from subscriptions and loyalty programs to value-added services and emerging digital commerce models. Plan and oversee A/B and multivariate testing programmes, using results to improve conversion rates, product discoverability, and checkout flow. Ensure product accuracy and content quality across the site at all times, briefing and collaborating with the relevant teams to deliver timely updates. Partner with Customer Care and Operations to deliver a seamless post purchase experience, ensuring policies (e.g., delivery, returns, subscriptions) are clear, customer friendly, and aligned with brand standards. Commercial Excellence Own the DTC P&L, taking accountability for commercial performance across revenue, conversion, margin, AOV, retention, and CLTV. Lead sales forecasting and target setting for the DTC channel, ensuring alignment with campaign plans, seasonal trends, and trading opportunities. Own the DTC promotional planning calendar, aligning to the overall marketing plans and seasonal activity. Ensure relevant, timely reporting to key stakeholders on DTC performance with clear updates, risks and opportunities. Collaborate with analytics stakeholders to build dashboards and performance reports, using data from Shopify, Google Analytics 4 (GA4), and internal tools. Translate insights into actions and prioritisation, informing site improvements, promotional planning, customer journey refinements, and media briefing. Qualifications 7+ years' experience in e commerce, digital marketing, or DTC roles - ideally within FMCG, consumer electronics, or fast paced DTC environments. Hands on experience with Shopify, Google Analytics (GA4), Tag Manager, and working knowledge of CRM platforms like Klaviyo. Strong track record of developing digital channel strategies, driving customer acquisition and retention, and delivering against commercial KPIs. Highly analytical, with the ability to interpret data and translate it into actionable strategies. Excellent cross functional collaboration skills, with experience working closely with marketing, sales, operations, and customer care. A customer first thinker who can balance user experience with commercial performance. Strong project management and prioritisation skills - comfortable owning a roadmap while managing multiple stakeholders. Key Behaviours Entrepreneurial Growth minded Consumer obsessed Data driven Accountable Courageous in decision making Curious and continuously learning
Senior Software Development Engineer
SwiftCruit
# Senior Software Development EngineerOnsite Senior Level Full TimePosted: Today SkillsPythonRustC++LessSystem DesignDistributed SystemsAlgorithmsObject-Oriented ProgrammingSOLIDAI Agents Company LocationOffice - London, United Kingdom Remote Work PolicyOnsite Job Summary We are seeking a skilled and motivated Software Engineer to join our dynamic team at CWAN. In this role, you will be responsible for designing, building, deploying, and maintaining high-quality code while collaborating with cross-functional teams to enhance our software offerings. This position is ideal for an engineer who is driven by client satisfaction and has a strong commitment to continuous learning and improvement. We use AI agents to speed up development safely and at the same time help clients achieve the same. A strong mathematical foundation is essential, as the role involves designing and optimising complex algorithms, numerical computations, and performance-critical financial systems. This is a software developer role that involves efficiently implementing mathematical calculations while at the same time integrating with the wider system.We welcome applicants across a range of experience levels, from mid-level engineers building their expertise to seasoned seniors with deep domain knowledge. The scope of responsibilities and degree of autonomy will be tailored accordingly, offering room to grow for those earlier in their career and opportunities to lead and influence for those with more experience. Responsibilities Responsibilities will be scoped to match your level of experience. More experienced engineers will be expected to take on broader ownership, mentorship, and technical leadership. Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested. Use AI agents to speed up development and advise others how to use them safely, both clients and internally. Break down and solve complex problems efficiently, utilising research and collaboration as needed. Implement and maintain multiple levels of automated testing (e.g., unit, integration, contract, end-to-end). Mentor new and less-experienced team members, sharing knowledge and best practices. (More senior candidates) Communicate effectively with stakeholders at all levels, including translating technical and mathematical concepts for non-technical audiences. Coordinate with cross-functional teams to ensure successful integration of software applications. Troubleshoot and resolve production incidents promptly and effectively. Design and implement mathematical models and algorithms for financial calculations, including pricing, risk metrics, and portfolio analytics. Perform numerical analysis and optimisation of computationally intensive routines, ensuring accuracy, correctness, and performance at scale while integrating seamlessly with the broader platform infrastructure. Design and maintain integration layers between mathematical computation engines and broader system services, ensuring reliability, observability, and maintainability. Required Skills Proficiency in Python, including experience writing performance-critical code. Familiarity with C++ or Rust for low-level numerical routines is a strong plus. Experience in the financial domain is a plus, although not required. Strong command of a typed, object-oriented programming language, with an appreciation for system design, API boundaries, and clean integration patterns. Deep knowledge of software methodologies, tools, and common architectural patterns. Solid understanding of mathematics relevant to financial software, including linear algebra, calculus, probability, and statistics. Experience implementing mathematical optimisations such as numerical solvers, interpolation methods, or matrix decompositions. Ability to translate mathematical and financial specifications into efficient, well-tested code that integrates cleanly with distributed systems and service-oriented architectures. Excellent teamwork and collaboration skills. Ability to manage time effectively and deliver results within deadlines. Commitment to continuous learning and professional development. Exceptional analytical and problem-solving skills. Education and Experience Degree in Computer Science, Mathematics, or a related field. 2-10+ years of software development experience using Python or any other OOP language. We encourage candidates at all to apply - the role and level of responsibility will be shaped to fit your experience. Demonstrated experience applying mathematical or quantitative methods in software projects is a plus.
15/07/2026
Full time
# Senior Software Development EngineerOnsite Senior Level Full TimePosted: Today SkillsPythonRustC++LessSystem DesignDistributed SystemsAlgorithmsObject-Oriented ProgrammingSOLIDAI Agents Company LocationOffice - London, United Kingdom Remote Work PolicyOnsite Job Summary We are seeking a skilled and motivated Software Engineer to join our dynamic team at CWAN. In this role, you will be responsible for designing, building, deploying, and maintaining high-quality code while collaborating with cross-functional teams to enhance our software offerings. This position is ideal for an engineer who is driven by client satisfaction and has a strong commitment to continuous learning and improvement. We use AI agents to speed up development safely and at the same time help clients achieve the same. A strong mathematical foundation is essential, as the role involves designing and optimising complex algorithms, numerical computations, and performance-critical financial systems. This is a software developer role that involves efficiently implementing mathematical calculations while at the same time integrating with the wider system.We welcome applicants across a range of experience levels, from mid-level engineers building their expertise to seasoned seniors with deep domain knowledge. The scope of responsibilities and degree of autonomy will be tailored accordingly, offering room to grow for those earlier in their career and opportunities to lead and influence for those with more experience. Responsibilities Responsibilities will be scoped to match your level of experience. More experienced engineers will be expected to take on broader ownership, mentorship, and technical leadership. Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested. Use AI agents to speed up development and advise others how to use them safely, both clients and internally. Break down and solve complex problems efficiently, utilising research and collaboration as needed. Implement and maintain multiple levels of automated testing (e.g., unit, integration, contract, end-to-end). Mentor new and less-experienced team members, sharing knowledge and best practices. (More senior candidates) Communicate effectively with stakeholders at all levels, including translating technical and mathematical concepts for non-technical audiences. Coordinate with cross-functional teams to ensure successful integration of software applications. Troubleshoot and resolve production incidents promptly and effectively. Design and implement mathematical models and algorithms for financial calculations, including pricing, risk metrics, and portfolio analytics. Perform numerical analysis and optimisation of computationally intensive routines, ensuring accuracy, correctness, and performance at scale while integrating seamlessly with the broader platform infrastructure. Design and maintain integration layers between mathematical computation engines and broader system services, ensuring reliability, observability, and maintainability. Required Skills Proficiency in Python, including experience writing performance-critical code. Familiarity with C++ or Rust for low-level numerical routines is a strong plus. Experience in the financial domain is a plus, although not required. Strong command of a typed, object-oriented programming language, with an appreciation for system design, API boundaries, and clean integration patterns. Deep knowledge of software methodologies, tools, and common architectural patterns. Solid understanding of mathematics relevant to financial software, including linear algebra, calculus, probability, and statistics. Experience implementing mathematical optimisations such as numerical solvers, interpolation methods, or matrix decompositions. Ability to translate mathematical and financial specifications into efficient, well-tested code that integrates cleanly with distributed systems and service-oriented architectures. Excellent teamwork and collaboration skills. Ability to manage time effectively and deliver results within deadlines. Commitment to continuous learning and professional development. Exceptional analytical and problem-solving skills. Education and Experience Degree in Computer Science, Mathematics, or a related field. 2-10+ years of software development experience using Python or any other OOP language. We encourage candidates at all to apply - the role and level of responsibility will be shaped to fit your experience. Demonstrated experience applying mathematical or quantitative methods in software projects is a plus.
Senior Applied Machine Learning Engineer - Catalogue Intelligence
OnBuy.com Bournemouth, Dorset
Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role We're building a more intelligent, scalable product catalogue across multiple markets. Core capabilities like auto-categorisation and brand detection already exist, but they are not yet connected into a system that consistently drives quality, discovery, and growth. This role owns that system. The Senior Applied ML Engineer - Catalogue Intelligence is responsible for building the machine learning systems that power OnBuy's catalogue decisioning engine. Working in partnership with the Head of Seller Solutions, who defines catalogue rules and commercial logic, you will design and deploy production-grade systems that automatically improve: Product categorisation Product data quality and completeness Pricing competitiveness insights Catalogue coverage and selection Product discoverability This is a hands on, production-focused role where outputs directly modify the live catalogue and materially impact GMV, conversion performance, search, and discovery. Core mission Turn catalogue rules and commercial logic into automated, data-driven systems that continuously improve discovery, data quality, pricing competitiveness, and revenue outcomes. What you'll be responsible for You'll take ownership of how product data is structured, validated, and used across the platform. This includes: Improving how we classify and understand products at scale Raising the overall quality of catalogue data and defining what "good" looks like Ensuring product data supports effective search, filtering, and discovery Identifying gaps in our catalogue and surfacing opportunities for growth Improving how our catalogue performs across external channels You'll build and evolve the systems and decision logic that enable this, and iterate based on real-world performance and data You'll work across: Structured data (catalogue attributes, GTINs, taxonomy) Unstructured data (text and images) Behavioural data (search, clicks, conversions) How you'll work You'll build directly using SQL and Python on top of: BigQuery Airbyte GoogleDatastream You'll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where appropriate. The focus is on shipping practical systems quickly, validating them with real data, and improving them over time. You'll work closely with engineering, product, and analytics, but you'll be expected to own and deliver the core logic yourself. Not focused on research or offline modelling You'll be expected to build systems that operate in production and directly influence how products appear and perform on the platform. Experience & Skills Experience building and shipping production data or ML systems with measurable business impact Strong Python and SQL skills, with the ability to work across data pipelines end to end You should be comfortable applying modern approaches such as LLMs, multimodal models, and information extraction techniques, and take them from experimentation to production with proper evaluation, monitoring, and cost control Experience working with messy, unstructured or semi structured data (e.g. text, images, product data) Ability to design systems that make decisions, not just predictions Strong judgement in balancing accuracy, risk, and business impact Experience with ecommerce or marketplace catalogues is a plus, but not required How you'll operate Take ownership of problems end to end, from idea through to production impact Build systems that are scalable, testable, observable, and auditable Design automation with confidence thresholds, monitoring, and feedback loops in mind Maintain clear documentation, evaluation frameworks, and versioning for models and logic Work pragmatically, favouring simple solutions that deliver impact quickly Communicate trade offs clearly to technical and non technical stakeholders You should be comfortable working in environments where data is incomplete, inconsistent, and constantly evolving You'll be working across cloud based data systems (GCP), building and deploying data pipelines and production ML workflows. Experience with orchestration tools (e.g. Airflow or similar), CI/CD, and model deployment practices is beneficial The salary on offer for this role is £65000- £75000 depending on experience. Benefits Company Equity - In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build 25 days annual leave + Bank Holidays 1 extra day off for your Birthday Employee Assistance Programme Perks at Work benefit platform Opportunities for career development and progression This role is UK remote or Hybrid if you live near our Manchester or Bournemouth's offices. Please only apply if you have the full right to work in the UK. Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. Just a heads up - we never use WhatsApp or any messaging apps to contact candidates. If someone reaches out this way, it isn't us and let the recruitment team know.
15/07/2026
Full time
Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role We're building a more intelligent, scalable product catalogue across multiple markets. Core capabilities like auto-categorisation and brand detection already exist, but they are not yet connected into a system that consistently drives quality, discovery, and growth. This role owns that system. The Senior Applied ML Engineer - Catalogue Intelligence is responsible for building the machine learning systems that power OnBuy's catalogue decisioning engine. Working in partnership with the Head of Seller Solutions, who defines catalogue rules and commercial logic, you will design and deploy production-grade systems that automatically improve: Product categorisation Product data quality and completeness Pricing competitiveness insights Catalogue coverage and selection Product discoverability This is a hands on, production-focused role where outputs directly modify the live catalogue and materially impact GMV, conversion performance, search, and discovery. Core mission Turn catalogue rules and commercial logic into automated, data-driven systems that continuously improve discovery, data quality, pricing competitiveness, and revenue outcomes. What you'll be responsible for You'll take ownership of how product data is structured, validated, and used across the platform. This includes: Improving how we classify and understand products at scale Raising the overall quality of catalogue data and defining what "good" looks like Ensuring product data supports effective search, filtering, and discovery Identifying gaps in our catalogue and surfacing opportunities for growth Improving how our catalogue performs across external channels You'll build and evolve the systems and decision logic that enable this, and iterate based on real-world performance and data You'll work across: Structured data (catalogue attributes, GTINs, taxonomy) Unstructured data (text and images) Behavioural data (search, clicks, conversions) How you'll work You'll build directly using SQL and Python on top of: BigQuery Airbyte GoogleDatastream You'll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where appropriate. The focus is on shipping practical systems quickly, validating them with real data, and improving them over time. You'll work closely with engineering, product, and analytics, but you'll be expected to own and deliver the core logic yourself. Not focused on research or offline modelling You'll be expected to build systems that operate in production and directly influence how products appear and perform on the platform. Experience & Skills Experience building and shipping production data or ML systems with measurable business impact Strong Python and SQL skills, with the ability to work across data pipelines end to end You should be comfortable applying modern approaches such as LLMs, multimodal models, and information extraction techniques, and take them from experimentation to production with proper evaluation, monitoring, and cost control Experience working with messy, unstructured or semi structured data (e.g. text, images, product data) Ability to design systems that make decisions, not just predictions Strong judgement in balancing accuracy, risk, and business impact Experience with ecommerce or marketplace catalogues is a plus, but not required How you'll operate Take ownership of problems end to end, from idea through to production impact Build systems that are scalable, testable, observable, and auditable Design automation with confidence thresholds, monitoring, and feedback loops in mind Maintain clear documentation, evaluation frameworks, and versioning for models and logic Work pragmatically, favouring simple solutions that deliver impact quickly Communicate trade offs clearly to technical and non technical stakeholders You should be comfortable working in environments where data is incomplete, inconsistent, and constantly evolving You'll be working across cloud based data systems (GCP), building and deploying data pipelines and production ML workflows. Experience with orchestration tools (e.g. Airflow or similar), CI/CD, and model deployment practices is beneficial The salary on offer for this role is £65000- £75000 depending on experience. Benefits Company Equity - In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build 25 days annual leave + Bank Holidays 1 extra day off for your Birthday Employee Assistance Programme Perks at Work benefit platform Opportunities for career development and progression This role is UK remote or Hybrid if you live near our Manchester or Bournemouth's offices. Please only apply if you have the full right to work in the UK. Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. Just a heads up - we never use WhatsApp or any messaging apps to contact candidates. If someone reaches out this way, it isn't us and let the recruitment team know.
Zachary Daniels
Digital Trader & Merchandiser
Zachary Daniels
Digital Trader & Merchandiser Hybrid Online Retailer We are partnering with a fast growing online retail business to recruit a Digital Trader & Merchandiser . This is an exciting opportunity to join a commercially driven ecommerce team where trading performance, customer experience and data led decision making sit at the heart of the business. The Digital Trader & Merchandiser will play a key role in driving onsite performance across multiple product categories, supporting trading strategy and ensuring products are positioned to maximise conversion, margin and revenue. The Digital Trader & Merchandiser is a hands on role suited to someone who enjoys working at pace, analysing performance and making real time improvements to drive results. You will take ownership of onsite trading and merchandising across key categories, using data, insight and customer behaviour to optimise performance. Working cross functionally, you will ensure campaigns land effectively, products are visible and the customer journey is seamless. This role suits someone who is commercially minded, detail focused and confident working in a fast moving ecommerce environment. What You'll Be Doing Support the delivery of online trading and merchandising across key product categories Optimise onsite customer journeys to improve conversion and user experience Manage category structure, product sequencing, filters and taxonomy Own promotional execution onsite, ensuring campaigns are delivered accurately and on time Monitor and analyse performance across key ecommerce KPIs including sales, conversion, AOV and margin Use data to identify opportunities, solve problems and drive continuous improvement Work closely with teams across marketing, buying, operations and digital to deliver trading plans Support SEO activity and onsite optimisation to improve visibility and traffic Conduct competitor analysis across pricing, product and promotional activity Align merchandising with seasonal trends, demand and product availability Support homepage and onsite builds in collaboration with design and development teams What We're Looking For Experience within ecommerce trading, merchandising or a digital retail environment Strong understanding of ecommerce KPIs and how to influence performance Confident analysing data and using insight to drive decisions Highly organised with strong attention to detail Comfortable working in a fast paced environment with multiple priorities Strong communication skills and ability to work cross functionally Proactive mindset with a willingness to test, learn and improve Experience with analytics tools, Excel or Google Sheets Experience with platforms such as SAP or similar would be beneficial Exposure to SEO or working with external agencies is advantageous Why Apply Join a fast growing ecommerce business with strong commercial focus Opportunity to take ownership of trading across key product areas Work in a collaborative and data driven environment Gain exposure across trading, merchandising and digital performance Competitive salary and benefits package including pension, discount and cycle to work scheme If you are a Digital Trader & Merchandiser looking for a role where you can develop your ecommerce trading skills and make a real impact on performance, we would love to hear from you. BH36675
15/07/2026
Full time
Digital Trader & Merchandiser Hybrid Online Retailer We are partnering with a fast growing online retail business to recruit a Digital Trader & Merchandiser . This is an exciting opportunity to join a commercially driven ecommerce team where trading performance, customer experience and data led decision making sit at the heart of the business. The Digital Trader & Merchandiser will play a key role in driving onsite performance across multiple product categories, supporting trading strategy and ensuring products are positioned to maximise conversion, margin and revenue. The Digital Trader & Merchandiser is a hands on role suited to someone who enjoys working at pace, analysing performance and making real time improvements to drive results. You will take ownership of onsite trading and merchandising across key categories, using data, insight and customer behaviour to optimise performance. Working cross functionally, you will ensure campaigns land effectively, products are visible and the customer journey is seamless. This role suits someone who is commercially minded, detail focused and confident working in a fast moving ecommerce environment. What You'll Be Doing Support the delivery of online trading and merchandising across key product categories Optimise onsite customer journeys to improve conversion and user experience Manage category structure, product sequencing, filters and taxonomy Own promotional execution onsite, ensuring campaigns are delivered accurately and on time Monitor and analyse performance across key ecommerce KPIs including sales, conversion, AOV and margin Use data to identify opportunities, solve problems and drive continuous improvement Work closely with teams across marketing, buying, operations and digital to deliver trading plans Support SEO activity and onsite optimisation to improve visibility and traffic Conduct competitor analysis across pricing, product and promotional activity Align merchandising with seasonal trends, demand and product availability Support homepage and onsite builds in collaboration with design and development teams What We're Looking For Experience within ecommerce trading, merchandising or a digital retail environment Strong understanding of ecommerce KPIs and how to influence performance Confident analysing data and using insight to drive decisions Highly organised with strong attention to detail Comfortable working in a fast paced environment with multiple priorities Strong communication skills and ability to work cross functionally Proactive mindset with a willingness to test, learn and improve Experience with analytics tools, Excel or Google Sheets Experience with platforms such as SAP or similar would be beneficial Exposure to SEO or working with external agencies is advantageous Why Apply Join a fast growing ecommerce business with strong commercial focus Opportunity to take ownership of trading across key product areas Work in a collaborative and data driven environment Gain exposure across trading, merchandising and digital performance Competitive salary and benefits package including pension, discount and cycle to work scheme If you are a Digital Trader & Merchandiser looking for a role where you can develop your ecommerce trading skills and make a real impact on performance, we would love to hear from you. BH36675
Senior Product Manager
Swap
Senior Product Manager Location: London (Hybrid) About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the role We are seeking an experienced Product Manager - Cross Border to join our product organisation. In this role, you will lead product strategy, discovery, and delivery for capabilities that help merchants navigate complex international sales, starting with supporting their product catalog readiness, through enabling their online checkout experiences to accommodate for unique taxes and compliance aspects, all the way through execution and delivery of the fulfilment phases. You are expected to leverage AI for constant refinement of the various features and flows improving efficiency and value as well as handling user-facing experiences that simplify global selling. You will work cross-functionally with engineering, design, sales, compliance, operations, legal, and GTM teams to define and ship solutions that unlock value for merchants expanding their e-commerce footprint globally. What you'll do Define product vision & strategy: Shape the roadmap for global commerce products with a focus on cross-border pricing, duties & tax calculation, compliance, and an international wide set of regulatory aspects - all with a purpose of simplified selling and streamlined operations. Champion end-to-end ecommerce funnel tooling: Drive a SCRUM team in developing features that automate various steps and dimensions of both shopper and merchant facing experiences that required to complete and support a smooth and accurate cross-border shopping experience, focusing on financial and compliance accuracy to reduce merchant risk and negative surprise costs at delivery. Lead discovery & prioritisation: Conduct user research, gather requirements from stakeholders, and balance short-term merchant needs with long-term product strategies. Deliver scalable solutions: Partner with engineering and design to launch high-quality features that improve merchant operational workflows and customer checkout and post-checkout experiences across regions. Measure impact: Define success metrics, monitor product performance (e.g., conversion, compliance accuracy rates, landed cost precision), and iterate based on data. Cross-team communication: Coordinate with legal, operations, and partner teams to ensure global features meet regulatory and commercial requirements in diverse markets. Who you are Experienced product leader: 5+ years of product management experience in SaaS, compliance and/or e-commerce, with a history of shipping impactful global products. Cross-border domain knowledge: Understanding of international taxation (VAT/GST), import duties, trade compliance, and how these impact pricing and checkout experiences. Data-driven: Comfortable using quantitative and qualitative data to set priorities, test hypotheses, and drive decisions. Technical aptitude: Able to collaborate with engineering teams on APIs, integrations, and backend workflows, and translate complex requirements into clear specs. Customer-centric: Passionate about solving real merchant challenges and enhancing the global selling experience. Collaborative communicator: Excellent verbal and written communication; thrives in cross-functional environments. Nice to have Experience with e-commerce platforms (Shopify, SFCC, Magento/Adobe Commerce, BigCommerce). Prior work in tax/finance, trade compliance, or international logistics software. Familiarity with AI-empowered products or analytics tools. Exposure to products that operate in regulated or multi-jurisdiction environments. Benefits Competitive base salary. Stock options in a high-growth startup. Competitive PTO with public holidays additional. Private Health. Pension. Wellness benefits. Breakfast Mondays. Diversity & Equal Opportunities We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.
14/07/2026
Full time
Senior Product Manager Location: London (Hybrid) About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the role We are seeking an experienced Product Manager - Cross Border to join our product organisation. In this role, you will lead product strategy, discovery, and delivery for capabilities that help merchants navigate complex international sales, starting with supporting their product catalog readiness, through enabling their online checkout experiences to accommodate for unique taxes and compliance aspects, all the way through execution and delivery of the fulfilment phases. You are expected to leverage AI for constant refinement of the various features and flows improving efficiency and value as well as handling user-facing experiences that simplify global selling. You will work cross-functionally with engineering, design, sales, compliance, operations, legal, and GTM teams to define and ship solutions that unlock value for merchants expanding their e-commerce footprint globally. What you'll do Define product vision & strategy: Shape the roadmap for global commerce products with a focus on cross-border pricing, duties & tax calculation, compliance, and an international wide set of regulatory aspects - all with a purpose of simplified selling and streamlined operations. Champion end-to-end ecommerce funnel tooling: Drive a SCRUM team in developing features that automate various steps and dimensions of both shopper and merchant facing experiences that required to complete and support a smooth and accurate cross-border shopping experience, focusing on financial and compliance accuracy to reduce merchant risk and negative surprise costs at delivery. Lead discovery & prioritisation: Conduct user research, gather requirements from stakeholders, and balance short-term merchant needs with long-term product strategies. Deliver scalable solutions: Partner with engineering and design to launch high-quality features that improve merchant operational workflows and customer checkout and post-checkout experiences across regions. Measure impact: Define success metrics, monitor product performance (e.g., conversion, compliance accuracy rates, landed cost precision), and iterate based on data. Cross-team communication: Coordinate with legal, operations, and partner teams to ensure global features meet regulatory and commercial requirements in diverse markets. Who you are Experienced product leader: 5+ years of product management experience in SaaS, compliance and/or e-commerce, with a history of shipping impactful global products. Cross-border domain knowledge: Understanding of international taxation (VAT/GST), import duties, trade compliance, and how these impact pricing and checkout experiences. Data-driven: Comfortable using quantitative and qualitative data to set priorities, test hypotheses, and drive decisions. Technical aptitude: Able to collaborate with engineering teams on APIs, integrations, and backend workflows, and translate complex requirements into clear specs. Customer-centric: Passionate about solving real merchant challenges and enhancing the global selling experience. Collaborative communicator: Excellent verbal and written communication; thrives in cross-functional environments. Nice to have Experience with e-commerce platforms (Shopify, SFCC, Magento/Adobe Commerce, BigCommerce). Prior work in tax/finance, trade compliance, or international logistics software. Familiarity with AI-empowered products or analytics tools. Exposure to products that operate in regulated or multi-jurisdiction environments. Benefits Competitive base salary. Stock options in a high-growth startup. Competitive PTO with public holidays additional. Private Health. Pension. Wellness benefits. Breakfast Mondays. Diversity & Equal Opportunities We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.
Senior Software Engineer - Marketing Platform
Software Careers
# Senior Software Engineer - Marketing Platformat Wise • United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Senior Software Engineer - Marketing Platform12h agoW Senior Software Engineer - Marketing PlatformWise00Software EngineeringFull-timeGBP 87500 - 111000 yearlyUnited KingdomApply Job Job DescriptionWise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.About the role: We're looking for a Senior Backend Engineer to build and scale Wise's price comparison platform. Comparison is about transparency-helping customers understand the real cost of sending money and why Wise is the better choice. You'll own the systems that collect pricing data from competitors and make it accessible across Wise, powering comparison tools and enabling data-driven decisions. This means building robust scrapers, reliable data pipelines, and APIs that teams depend on. Accuracy and trust are non-negotiable. You'll join the Marketing-Platform team in the Onboarding & Scalable Growth squad. We build the systems that unlock and optimise digital marketing and CRM, enabling £30+ million in marketing investment with proven ROI.What you'll do: Build the backbone: backend systems and APIs that power Wise's comparison experiences. Make scrapers feel "magical": help define the roadmap for using LLMs and proven techniques to make data collection more stable, faster to evolve, and easier to scale. Turn competitive pricing into a real-time advantage: expand and strengthen our competitive intelligence system across 100+ competitors in money transfer. Obsess over data quality: build ingestion and validation pipelines with strong monitoring, accuracy checks, and rapid detection when the world changes. Make data trustworthy by default: improve reliability, transparency and usability of marketing data so internal teams can move faster with confidence. Design for scale: operate distributed, event-driven systems that stay reliable as volume and coverage grow. Work like a small team building something big: collaborate daily with product, engineering, analytics and data partners to ship the right thing. Own the whole experience: from shaping the solution to implementing, testing, releasing and watching it succeed in production. Raise the bar: through great testing, thoughtful reviews, and feedback that makes the whole team better.What we're looking for (Must have): 5+ Years of working as a software engineer Solid knowledge of relational databases and designing data models for correctness and performance. Experience building distributed and concurrent systems (e.g., Kafka or equivalent). Strong engineering fundamentals: testable code, unit + integration testing, and pragmatic testing strategies. Clear communication: able to explain technical decisions to non-technical partners. A product mindset: you prioritise customer outcomes and use data to guide decisions. Comfortable working independently on ambiguous problems, taking end-to-end ownership.Nice to have: Hands-on experience with scraping technologies at scale and maintaining data quality/accuracy. Experience building backend systems with Java or Kotlin (or another JVM language). Experience with Spring (or similar JVM frameworks). Experience operating data-heavy systems with strong observability (monitoring, alerting, data quality checks). Experience with measurement/attribution, marketing platforms, or comparison products (not required). Fintech or regulated-environment experience (not required).What your first 6 months could look like: You've embedded into the team, understood our goals and how your work connects to measurable outcomes. You've shipped production features end-to-end and monitored their impact after release. You've contributed to planning cycles and proposed improvements to take our comparison product further. You've built confidence in Wise's domain and engineering practices, and helped improve how the team works.Qualifications: 5+ years of experience in Java or Kotlin (or other JVM based language) Strong experience with Spring framework, relational databases, distributed and concurrent systems (Kafka) Experience in scraping technologies at scale and maintaining data accuracy Close collaboration with product managers, data scientists, data analysts, engineers and other product teams is a must have and is something to expect to happen on a daily basis You enjoy writing testable code and you have experience in testing strategies, such as unit testing, integration testing You believe in and follow best coding practices, code reviews and open feedback You have great communication skills and the ability to articulate complex, technical concepts to non-technical audience You strive to improve our team culture and processes A strong product mindset and passion for customer experience, you prioritise work with the customers in mind and make data-driven decisions to fix customer pain-points Being able to work independently on customer problems is a key to success - you take responsibility and end-to-end ownership of your projects: drive and own them to make sure we hit the goals we want to achieve.For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
14/07/2026
Full time
# Senior Software Engineer - Marketing Platformat Wise • United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Senior Software Engineer - Marketing Platform12h agoW Senior Software Engineer - Marketing PlatformWise00Software EngineeringFull-timeGBP 87500 - 111000 yearlyUnited KingdomApply Job Job DescriptionWise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.About the role: We're looking for a Senior Backend Engineer to build and scale Wise's price comparison platform. Comparison is about transparency-helping customers understand the real cost of sending money and why Wise is the better choice. You'll own the systems that collect pricing data from competitors and make it accessible across Wise, powering comparison tools and enabling data-driven decisions. This means building robust scrapers, reliable data pipelines, and APIs that teams depend on. Accuracy and trust are non-negotiable. You'll join the Marketing-Platform team in the Onboarding & Scalable Growth squad. We build the systems that unlock and optimise digital marketing and CRM, enabling £30+ million in marketing investment with proven ROI.What you'll do: Build the backbone: backend systems and APIs that power Wise's comparison experiences. Make scrapers feel "magical": help define the roadmap for using LLMs and proven techniques to make data collection more stable, faster to evolve, and easier to scale. Turn competitive pricing into a real-time advantage: expand and strengthen our competitive intelligence system across 100+ competitors in money transfer. Obsess over data quality: build ingestion and validation pipelines with strong monitoring, accuracy checks, and rapid detection when the world changes. Make data trustworthy by default: improve reliability, transparency and usability of marketing data so internal teams can move faster with confidence. Design for scale: operate distributed, event-driven systems that stay reliable as volume and coverage grow. Work like a small team building something big: collaborate daily with product, engineering, analytics and data partners to ship the right thing. Own the whole experience: from shaping the solution to implementing, testing, releasing and watching it succeed in production. Raise the bar: through great testing, thoughtful reviews, and feedback that makes the whole team better.What we're looking for (Must have): 5+ Years of working as a software engineer Solid knowledge of relational databases and designing data models for correctness and performance. Experience building distributed and concurrent systems (e.g., Kafka or equivalent). Strong engineering fundamentals: testable code, unit + integration testing, and pragmatic testing strategies. Clear communication: able to explain technical decisions to non-technical partners. A product mindset: you prioritise customer outcomes and use data to guide decisions. Comfortable working independently on ambiguous problems, taking end-to-end ownership.Nice to have: Hands-on experience with scraping technologies at scale and maintaining data quality/accuracy. Experience building backend systems with Java or Kotlin (or another JVM language). Experience with Spring (or similar JVM frameworks). Experience operating data-heavy systems with strong observability (monitoring, alerting, data quality checks). Experience with measurement/attribution, marketing platforms, or comparison products (not required). Fintech or regulated-environment experience (not required).What your first 6 months could look like: You've embedded into the team, understood our goals and how your work connects to measurable outcomes. You've shipped production features end-to-end and monitored their impact after release. You've contributed to planning cycles and proposed improvements to take our comparison product further. You've built confidence in Wise's domain and engineering practices, and helped improve how the team works.Qualifications: 5+ years of experience in Java or Kotlin (or other JVM based language) Strong experience with Spring framework, relational databases, distributed and concurrent systems (Kafka) Experience in scraping technologies at scale and maintaining data accuracy Close collaboration with product managers, data scientists, data analysts, engineers and other product teams is a must have and is something to expect to happen on a daily basis You enjoy writing testable code and you have experience in testing strategies, such as unit testing, integration testing You believe in and follow best coding practices, code reviews and open feedback You have great communication skills and the ability to articulate complex, technical concepts to non-technical audience You strive to improve our team culture and processes A strong product mindset and passion for customer experience, you prioritise work with the customers in mind and make data-driven decisions to fix customer pain-points Being able to work independently on customer problems is a key to success - you take responsibility and end-to-end ownership of your projects: drive and own them to make sure we hit the goals we want to achieve.For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
OnBuy
Senior Applied Machine Learning Engineer - Catalogue Intelligence
OnBuy Manchester, Lancashire
Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role We're building a more intelligent, scalable product catalogue across multiple markets. Core capabilities like auto-categorisation and brand detection already exist, but they are not yet connected into a system that consistently drives quality, discovery, and growth. This role owns that system. The Senior Applied ML Engineer - Catalogue Intelligence is responsible for building the machine learning systems that power OnBuy's catalogue decisioning engine. Working in partnership with the Head of Seller Solutions, who defines catalogue rules and commercial logic, you will design and deploy production-grade systems that automatically improve: Product categorisation Product data quality and completeness Pricing competitiveness insights Catalogue coverage and selection Product discoverability This is a hands on, production-focused role where outputs directly modify the live catalogue and materially impact GMV, conversion performance, search, and discovery. Core mission Turn catalogue rules and commercial logic into automated, data-driven systems that continuously improve discovery, data quality, pricing competitiveness, and revenue outcomes. What you'll be responsible for You'll take ownership of how product data is structured, validated, and used across the platform. This includes: Improving how we classify and understand products at scale Raising the overall quality of catalogue data and defining what "good" looks like Ensuring product data supports effective search, filtering, and discovery Identifying gaps in our catalogue and surfacing opportunities for growth Improving how our catalogue performs across external channels You'll build and evolve the systems and decision logic that enable this, and iterate based on real-world performance and data You'll work across: Structured data (catalogue attributes, GTINs, taxonomy) Unstructured data (text and images) Behavioural data (search, clicks, conversions) How you'll work You'll build directly using SQL and Python on top of: BigQuery Airbyte GoogleDatastream You'll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where appropriate. The focus is on shipping practical systems quickly, validating them with real data, and improving them over time. You'll work closely with engineering, product, and analytics, but you'll be expected to own and deliver the core logic yourself. Not focused on research or offline modelling You'll be expected to build systems that operate in production and directly influence how products appear and perform on the platform. Experience & Skills Experience building and shipping production data or ML systems with measurable business impact Strong Python and SQL skills, with the ability to work across data pipelines end to end You should be comfortable applying modern approaches such as LLMs, multimodal models, and information extraction techniques, and take them from experimentation to production with proper evaluation, monitoring, and cost control Experience working with messy, unstructured or semi structured data (e.g. text, images, product data) Ability to design systems that make decisions, not just predictions Strong judgement in balancing accuracy, risk, and business impact Experience with ecommerce or marketplace catalogues is a plus, but not required How you'll operate Take ownership of problems end to end, from idea through to production impact Build systems that are scalable, testable, observable, and auditable Design automation with confidence thresholds, monitoring, and feedback loops in mind Maintain clear documentation, evaluation frameworks, and versioning for models and logic Work pragmatically, favouring simple solutions that deliver impact quickly Communicate trade offs clearly to technical and non technical stakeholders You should be comfortable working in environments where data is incomplete, inconsistent, and constantly evolving You'll be working across cloud based data systems (GCP), building and deploying data pipelines and production ML workflows. Experience with orchestration tools (e.g. Airflow or similar), CI/CD, and model deployment practices is beneficial The salary on offer for this role is £65000- £75000 depending on experience. Benefits Company Equity - In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build 25 days annual leave + Bank Holidays 1 extra day off for your Birthday Employee Assistance Programme Perks at Work benefit platform Opportunities for career development and progression This role is UK remote or Hybrid if you live near our Manchester or Bournemouth's offices. Please only apply if you have the full right to work in the UK. Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. Just a heads up - we never use WhatsApp or any messaging apps to contact candidates. If someone reaches out this way, it isn't us and let the recruitment team know.
13/07/2026
Full time
Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role We're building a more intelligent, scalable product catalogue across multiple markets. Core capabilities like auto-categorisation and brand detection already exist, but they are not yet connected into a system that consistently drives quality, discovery, and growth. This role owns that system. The Senior Applied ML Engineer - Catalogue Intelligence is responsible for building the machine learning systems that power OnBuy's catalogue decisioning engine. Working in partnership with the Head of Seller Solutions, who defines catalogue rules and commercial logic, you will design and deploy production-grade systems that automatically improve: Product categorisation Product data quality and completeness Pricing competitiveness insights Catalogue coverage and selection Product discoverability This is a hands on, production-focused role where outputs directly modify the live catalogue and materially impact GMV, conversion performance, search, and discovery. Core mission Turn catalogue rules and commercial logic into automated, data-driven systems that continuously improve discovery, data quality, pricing competitiveness, and revenue outcomes. What you'll be responsible for You'll take ownership of how product data is structured, validated, and used across the platform. This includes: Improving how we classify and understand products at scale Raising the overall quality of catalogue data and defining what "good" looks like Ensuring product data supports effective search, filtering, and discovery Identifying gaps in our catalogue and surfacing opportunities for growth Improving how our catalogue performs across external channels You'll build and evolve the systems and decision logic that enable this, and iterate based on real-world performance and data You'll work across: Structured data (catalogue attributes, GTINs, taxonomy) Unstructured data (text and images) Behavioural data (search, clicks, conversions) How you'll work You'll build directly using SQL and Python on top of: BigQuery Airbyte GoogleDatastream You'll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where appropriate. The focus is on shipping practical systems quickly, validating them with real data, and improving them over time. You'll work closely with engineering, product, and analytics, but you'll be expected to own and deliver the core logic yourself. Not focused on research or offline modelling You'll be expected to build systems that operate in production and directly influence how products appear and perform on the platform. Experience & Skills Experience building and shipping production data or ML systems with measurable business impact Strong Python and SQL skills, with the ability to work across data pipelines end to end You should be comfortable applying modern approaches such as LLMs, multimodal models, and information extraction techniques, and take them from experimentation to production with proper evaluation, monitoring, and cost control Experience working with messy, unstructured or semi structured data (e.g. text, images, product data) Ability to design systems that make decisions, not just predictions Strong judgement in balancing accuracy, risk, and business impact Experience with ecommerce or marketplace catalogues is a plus, but not required How you'll operate Take ownership of problems end to end, from idea through to production impact Build systems that are scalable, testable, observable, and auditable Design automation with confidence thresholds, monitoring, and feedback loops in mind Maintain clear documentation, evaluation frameworks, and versioning for models and logic Work pragmatically, favouring simple solutions that deliver impact quickly Communicate trade offs clearly to technical and non technical stakeholders You should be comfortable working in environments where data is incomplete, inconsistent, and constantly evolving You'll be working across cloud based data systems (GCP), building and deploying data pipelines and production ML workflows. Experience with orchestration tools (e.g. Airflow or similar), CI/CD, and model deployment practices is beneficial The salary on offer for this role is £65000- £75000 depending on experience. Benefits Company Equity - In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build 25 days annual leave + Bank Holidays 1 extra day off for your Birthday Employee Assistance Programme Perks at Work benefit platform Opportunities for career development and progression This role is UK remote or Hybrid if you live near our Manchester or Bournemouth's offices. Please only apply if you have the full right to work in the UK. Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. Just a heads up - we never use WhatsApp or any messaging apps to contact candidates. If someone reaches out this way, it isn't us and let the recruitment team know.
E-Commerce Manager
Birmingham City Football Club plc Birmingham, Staffordshire
As our E-commerce Manager, you will take ownership of the Club's official online store(s), ensuring a seamless, engaging, and high-performing digital shopping experience that reflects our identity and values. You will play a key role in shaping and executing our eCommerce strategy, collaborating with internal teams and external partners to achieve ambitious commercial goals. Key Responsibilities Lead the day-to-day management of the Club's online store(s), delivering a world-class experience across all devices. Develop and execute a data-driven eCommerce strategy aligned with retail and commercial targets. Optimise the customer journey, from landing page to checkout, enhancing both UX and conversion. Monitor and report on trading activity, stock availability, and KPIs. Work with Digital, Marketing, and Content teams to drive campaigns, product launches, and matchday activations. Manage third-party platforms, logistics, and customer service partners to ensure operational excellence. Use insights from analytics tools to inform product strategy, pricing, and promotions. Champion brand consistency and customer satisfaction across all digital retail channels. Stay ahead of industry trends and competitor activity to drive innovation and growth. What are we looking for in you? Proven experience in an eCommerce management or trading role (retail/sports sectors preferred). Experience using eCommerce platforms like Shopify Plus, Magento, or Salesforce Commerce Cloud. Demonstrable success in growing online sales and improving customer experience. Strong knowledge of SEO, CRM, and performance marketing. Proficiency with analytics tools (Google Analytics, Power BI, Excel). Excellent project management and organisational skills. A collaborative, detail-oriented approach with a flair for online merchandising and user experience. Experience working in sports retail or club eCommerce environments. What can we offer to you? Auto-enrolment into the Company's Pension Scheme. Employee Assistance Programme through which offers a wide range of services and support through dedicated professionals, including virtual GP appointments within 24 hours, unlimited mental health support and counselling sessions, a 24/7 helpline, and access to savings and discounts. This can also be used by immediate family. Free onsite Parking. Life Assurance with cover of two times your basic annual salary. Complimentary matchday tickets to Men's and Women's games. Access to Employee Assistance Scheme from commencement. 20% discount at the Club Shop. Birmingham City FC is committed to safeguarding and promoting the welfare of children and young people. The safety and well-being of our players is our top priority, and we expect all staff to share this commitment. All successful applicants will be required to undergo a thorough background check and training in safeguarding as part of the recruitment process. Birmingham City FC is an equal opportunities and Disability Confident employer. We welcome applications from all sectors of the community and assess candidates solely on merit, regardless of gender, race, age, nationality, disability, sexual orientation, political or religious belief, background, or family circumstances. We promote a diverse and inclusive environment and encourage all individuals to apply. If you need any adjustments to our recruitment or interview process, please inform us when applying.
13/07/2026
Full time
As our E-commerce Manager, you will take ownership of the Club's official online store(s), ensuring a seamless, engaging, and high-performing digital shopping experience that reflects our identity and values. You will play a key role in shaping and executing our eCommerce strategy, collaborating with internal teams and external partners to achieve ambitious commercial goals. Key Responsibilities Lead the day-to-day management of the Club's online store(s), delivering a world-class experience across all devices. Develop and execute a data-driven eCommerce strategy aligned with retail and commercial targets. Optimise the customer journey, from landing page to checkout, enhancing both UX and conversion. Monitor and report on trading activity, stock availability, and KPIs. Work with Digital, Marketing, and Content teams to drive campaigns, product launches, and matchday activations. Manage third-party platforms, logistics, and customer service partners to ensure operational excellence. Use insights from analytics tools to inform product strategy, pricing, and promotions. Champion brand consistency and customer satisfaction across all digital retail channels. Stay ahead of industry trends and competitor activity to drive innovation and growth. What are we looking for in you? Proven experience in an eCommerce management or trading role (retail/sports sectors preferred). Experience using eCommerce platforms like Shopify Plus, Magento, or Salesforce Commerce Cloud. Demonstrable success in growing online sales and improving customer experience. Strong knowledge of SEO, CRM, and performance marketing. Proficiency with analytics tools (Google Analytics, Power BI, Excel). Excellent project management and organisational skills. A collaborative, detail-oriented approach with a flair for online merchandising and user experience. Experience working in sports retail or club eCommerce environments. What can we offer to you? Auto-enrolment into the Company's Pension Scheme. Employee Assistance Programme through which offers a wide range of services and support through dedicated professionals, including virtual GP appointments within 24 hours, unlimited mental health support and counselling sessions, a 24/7 helpline, and access to savings and discounts. This can also be used by immediate family. Free onsite Parking. Life Assurance with cover of two times your basic annual salary. Complimentary matchday tickets to Men's and Women's games. Access to Employee Assistance Scheme from commencement. 20% discount at the Club Shop. Birmingham City FC is committed to safeguarding and promoting the welfare of children and young people. The safety and well-being of our players is our top priority, and we expect all staff to share this commitment. All successful applicants will be required to undergo a thorough background check and training in safeguarding as part of the recruitment process. Birmingham City FC is an equal opportunities and Disability Confident employer. We welcome applications from all sectors of the community and assess candidates solely on merit, regardless of gender, race, age, nationality, disability, sexual orientation, political or religious belief, background, or family circumstances. We promote a diverse and inclusive environment and encourage all individuals to apply. If you need any adjustments to our recruitment or interview process, please inform us when applying.
Python Data Engineer
Advanced Resource Managers Ltd
Python Data Engineer 3-6 Months initial contract London/Hybrid - 1-2 days per week on site £Negotiable rate (Inside IR35) We are seeking an experienced Python Data Engineer to join a high-performing data engineering team, building and enhancing centralised data services used by quantitative researchers, traders and front-office teams. The ideal candidate will have experience in Hedge funds, Asset management or Investment banks. As well as a good understanding of Quant engineering/Quant data groups, Fixed income, rates, FX, macro, trading or pricing environments. This is a hands on engineering role focused on designing, developing and maintaining scalable data platforms, pipelines and services that deliver high quality, validated investment data. You'll work closely with technical stakeholders to improve data quality, build reusable data capabilities and support business critical analytics. Key Responsibilities Design, develop and enhance Python-based data services used by front office and quantitative teams. Build scalable data pipelines and services to ingest, transform and deliver high-quality datasets. Develop robust data validation frameworks to improve the accuracy and reliability of derived data. Work closely with quantitative researchers, traders and engineering teams to understand data requirements and expected outputs. Cleanse, filter and validate raw datasets to ensure data quality before they are consumed by downstream users and applications. Support the centralisation of data services, reducing duplication and improving consistency across multiple data sources. Contribute to the design and implementation of scalable, reusable data architecture rather than tactical point solutions. Build and maintain APIs and data platforms capable of serving large-scale financial datasets. Take ownership of solutions throughout the full software development lifecycle, from design and development through testing, deployment and production support. Promote engineering best practices, including automated testing, version control and CI/CD. Deploy and maintain applications within cloud-native and containerised environments. Collaborate with cross-functional teams to continuously improve data platforms supporting pricing, risk, analytics and investment processes. Required Skills & Experience Strong commercial Python software engineering experience. Experience building scalable data services, APIs, data pipelines or data platforms. Solid software engineering practices including automated testing, Git and CI/CD. Experience working with cloud platforms, ideally AWS. Experience with Docker or other containerisation technologies. Knowledge of Snowflake and NoSQL databases such as MongoDB. Experience working with large-scale datasets and data transformation processes. Strong stakeholder engagement skills with the ability to work alongside technical users and engineering teams. Desirable Experience Experience within financial services. Exposure to front office, quantitative research, trading, market data, pricing, risk or investment data environments. Experience developing high-performance data solutions in fast-paced organisations. This is an excellent opportunity to join a technically strong team delivering modern data engineering solutions within a challenging and rewarding environment.
12/07/2026
Full time
Python Data Engineer 3-6 Months initial contract London/Hybrid - 1-2 days per week on site £Negotiable rate (Inside IR35) We are seeking an experienced Python Data Engineer to join a high-performing data engineering team, building and enhancing centralised data services used by quantitative researchers, traders and front-office teams. The ideal candidate will have experience in Hedge funds, Asset management or Investment banks. As well as a good understanding of Quant engineering/Quant data groups, Fixed income, rates, FX, macro, trading or pricing environments. This is a hands on engineering role focused on designing, developing and maintaining scalable data platforms, pipelines and services that deliver high quality, validated investment data. You'll work closely with technical stakeholders to improve data quality, build reusable data capabilities and support business critical analytics. Key Responsibilities Design, develop and enhance Python-based data services used by front office and quantitative teams. Build scalable data pipelines and services to ingest, transform and deliver high-quality datasets. Develop robust data validation frameworks to improve the accuracy and reliability of derived data. Work closely with quantitative researchers, traders and engineering teams to understand data requirements and expected outputs. Cleanse, filter and validate raw datasets to ensure data quality before they are consumed by downstream users and applications. Support the centralisation of data services, reducing duplication and improving consistency across multiple data sources. Contribute to the design and implementation of scalable, reusable data architecture rather than tactical point solutions. Build and maintain APIs and data platforms capable of serving large-scale financial datasets. Take ownership of solutions throughout the full software development lifecycle, from design and development through testing, deployment and production support. Promote engineering best practices, including automated testing, version control and CI/CD. Deploy and maintain applications within cloud-native and containerised environments. Collaborate with cross-functional teams to continuously improve data platforms supporting pricing, risk, analytics and investment processes. Required Skills & Experience Strong commercial Python software engineering experience. Experience building scalable data services, APIs, data pipelines or data platforms. Solid software engineering practices including automated testing, Git and CI/CD. Experience working with cloud platforms, ideally AWS. Experience with Docker or other containerisation technologies. Knowledge of Snowflake and NoSQL databases such as MongoDB. Experience working with large-scale datasets and data transformation processes. Strong stakeholder engagement skills with the ability to work alongside technical users and engineering teams. Desirable Experience Experience within financial services. Exposure to front office, quantitative research, trading, market data, pricing, risk or investment data environments. Experience developing high-performance data solutions in fast-paced organisations. This is an excellent opportunity to join a technically strong team delivering modern data engineering solutions within a challenging and rewarding environment.
Business Development Director- Global Energy & Natural Resources
jobr.pro City Of Westminster, London
Job Description Role Purpose The Business Development Director is responsible for identifying, developing and securing strategic programme, project management, cost management and advisory opportunities across Turner & Townsend's Global Energy & Natural Resources sector. The role will focus on driving growth across Oil & Gas, LNG, Nuclear, Clean & Low Carbon Energy, Power Generation, Power Transmission & Distribution, and Mining. Working closely with global sector leaders, regional management teams and key client account leaders, the Business Development Director will develop and convert a high-value pipeline of opportunities, strengthen strategic client relationships, and position Turner & Townsend as the partner of choice for the successful delivery of complex capital programmes and major infrastructure investments. The role will play a key part in delivering Turner & Townsend's global growth ambitions through market engagement, account development, strategic pursuits, and collaboration across our international business. SOX control responsibilities may be part of this role, which are to be adhered to where applicable. Key Responsibilities Business Development & Market Growth Identify, develop and secure major opportunities across the Energy & Natural Resources sector globally. Build and maintain a robust pipeline of programme management, project controls, cost management, commercial management and advisory opportunities. Develop and implement business development strategies aligned with the sector's growth objectives and priority markets. Identify emerging investment trends, project developments and strategic opportunities within target sectors and geographies. Promote Turner & Townsend's integrated service offering and develop client-focused solutions that differentiate the business in the marketplace. Position Turner & Townsend as a trusted partner throughout the full capital project lifecycle, from strategy and investment planning through delivery and operational readiness. Work collaboratively with regional and global leadership teams to identify new market opportunities and growth initiatives. Strategic Client Engagement Develop and maintain executive-level relationships with owners, operators, developers, investors, utilities, governments and major capital programme sponsors. Build and execute strategic account plans for priority clients and target accounts. Develop a deep understanding of client business objectives, investment strategies and capital programme priorities. Facilitate engagement between clients and Turner & Townsend's leadership, technical specialists and operational teams. Represent Turner & Townsend at industry conferences, forums and client events, promoting the firm's capabilities and market presence. Build relationships with industry partners, contractors, technology providers and key market stakeholders to support strategic growth objectives. Opportunity Leadership Lead strategic pursuits from early client engagement through qualification, proposal development, negotiation and contract award. Develop and implement capture plans for major opportunities and framework agreements. Coordinate internal stakeholders to ensure alignment around pursuit strategy, win themes and value propositions. Lead opportunity qualification and governance processes, including go/no-go decision making. Support the development of compelling client solutions and differentiated offerings. Lead client presentations, workshops and executive engagement activities throughout the sales cycle. Commercial Leadership Lead commercial discussions and negotiations in collaboration with operational and legal teams. Support pricing, commercial strategy and contractual positioning for strategic pursuits. Ensure opportunities align with Turner & Townsend's risk management, governance and profitability objectives. Work closely with operational leaders to ensure successful transition from business development through mobilisation and delivery. Drive sustainable, profitable growth across the Energy & Natural Resources portfolio. Sector Focus Areas Oil & Gas Upstream oil and gas developments Offshore and onshore production facilities FPSOs and floating production systems Midstream infrastructure, pipelines and terminals Gas processing and treatment facilities Brownfield modifications and asset optimisation programmes LNG LNG export and import terminals Liquefaction and regasification facilities FLNG developments LNG storage and transportation infrastructure Associated utilities and supporting infrastructure Nuclear New nuclear build programmes Small Modular Reactors (SMRs) and Advanced Modular Reactors (AMRs) Nuclear infrastructure and supporting facilities Nuclear decommissioning and waste management programmes Major capital investments across the nuclear lifecycle Clean & Low Carbon Energy Hydrogen production, storage and transportation Carbon Capture, Utilisation and Storage (CCUS) Sustainable fuels and energy transition infrastructure Energy decarbonisation programmes Industrial low carbon transformation projects Power Generation Conventional thermal power generation Gas fired generation Renewable energy developments Hybrid energy solutions Energy infrastructure supporting security of supply and decarbonisation objectives Power Transmission & Distribution Transmission network expansion programmes Substations and grid infrastructure Interconnectors and strategic power networks Distribution network upgrades Grid modernisation and resilience programmes Mining Mining and minerals processing facilities Greenfield and brownfield developments Critical minerals and battery materials projects Infrastructure, logistics and export facilities Operational improvement and expansion programmes Leadership & Collaboration Work collaboratively across Turner & Townsend's global and regional businesses to drive growth and client value. Provide market insight and commercial guidance to sector and regional leadership teams. Support the development of business development capability across the organisation. Champion collaboration, innovation and knowledge sharing across teams. Promote the use of digital tools, data analytics and AI enabled solutions to enhance client outcomes and business performance. Act as an ambassador for Turner & Townsend's values, culture and reputation. Qualifications Essential Significant business development experience within Energy & Natural Resources, infrastructure, professional services, consultancy, engineering or project delivery environments. Demonstrated success in originating and securing major capital programmes, projects or framework agreements. Deep sector knowledge across one or more of the following: Oil & Gas LNG Nuclear Clean & Low Carbon Energy Power Generation Power Transmission & Distribution Mining Proven ability to develop and maintain executive-level client relationships. Experience leading complex pursuits, proposals and commercial negotiations. Strong understanding of major capital project delivery and investment lifecycles. Experience operating effectively in international and multi stakeholder environments. Preferred Experience across multiple Energy & Natural Resources sub sectors. Existing network within global developers, operators, utilities, investors and government organisations. Degree qualified in an engineering, commercial, business or related discipline. Professional membership of relevant industry bodies. Personal Attributes Strategic and commercially driven. Credible and influential with senior stakeholders. Strong communicator and relationship builder. Entrepreneurial and growth focused. Collaborative and globally minded. Resilient, proactive and highly self motivated. Innovative with a strong appreciation for digital and AI enabled business solutions. Results oriented with a strong focus on client value and sustainable growth. Success Measures Growth of qualified opportunity pipeline. Revenue and margin contribution. Strategic account development and client satisfaction. Win rate on targeted opportunities and strategic pursuits. Expansion of Turner & Townsend's market position across Energy & Natural Resources. Development of executive level client relationships. Contribution to the achievement of global sector growth objectives. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community.
12/07/2026
Full time
Job Description Role Purpose The Business Development Director is responsible for identifying, developing and securing strategic programme, project management, cost management and advisory opportunities across Turner & Townsend's Global Energy & Natural Resources sector. The role will focus on driving growth across Oil & Gas, LNG, Nuclear, Clean & Low Carbon Energy, Power Generation, Power Transmission & Distribution, and Mining. Working closely with global sector leaders, regional management teams and key client account leaders, the Business Development Director will develop and convert a high-value pipeline of opportunities, strengthen strategic client relationships, and position Turner & Townsend as the partner of choice for the successful delivery of complex capital programmes and major infrastructure investments. The role will play a key part in delivering Turner & Townsend's global growth ambitions through market engagement, account development, strategic pursuits, and collaboration across our international business. SOX control responsibilities may be part of this role, which are to be adhered to where applicable. Key Responsibilities Business Development & Market Growth Identify, develop and secure major opportunities across the Energy & Natural Resources sector globally. Build and maintain a robust pipeline of programme management, project controls, cost management, commercial management and advisory opportunities. Develop and implement business development strategies aligned with the sector's growth objectives and priority markets. Identify emerging investment trends, project developments and strategic opportunities within target sectors and geographies. Promote Turner & Townsend's integrated service offering and develop client-focused solutions that differentiate the business in the marketplace. Position Turner & Townsend as a trusted partner throughout the full capital project lifecycle, from strategy and investment planning through delivery and operational readiness. Work collaboratively with regional and global leadership teams to identify new market opportunities and growth initiatives. Strategic Client Engagement Develop and maintain executive-level relationships with owners, operators, developers, investors, utilities, governments and major capital programme sponsors. Build and execute strategic account plans for priority clients and target accounts. Develop a deep understanding of client business objectives, investment strategies and capital programme priorities. Facilitate engagement between clients and Turner & Townsend's leadership, technical specialists and operational teams. Represent Turner & Townsend at industry conferences, forums and client events, promoting the firm's capabilities and market presence. Build relationships with industry partners, contractors, technology providers and key market stakeholders to support strategic growth objectives. Opportunity Leadership Lead strategic pursuits from early client engagement through qualification, proposal development, negotiation and contract award. Develop and implement capture plans for major opportunities and framework agreements. Coordinate internal stakeholders to ensure alignment around pursuit strategy, win themes and value propositions. Lead opportunity qualification and governance processes, including go/no-go decision making. Support the development of compelling client solutions and differentiated offerings. Lead client presentations, workshops and executive engagement activities throughout the sales cycle. Commercial Leadership Lead commercial discussions and negotiations in collaboration with operational and legal teams. Support pricing, commercial strategy and contractual positioning for strategic pursuits. Ensure opportunities align with Turner & Townsend's risk management, governance and profitability objectives. Work closely with operational leaders to ensure successful transition from business development through mobilisation and delivery. Drive sustainable, profitable growth across the Energy & Natural Resources portfolio. Sector Focus Areas Oil & Gas Upstream oil and gas developments Offshore and onshore production facilities FPSOs and floating production systems Midstream infrastructure, pipelines and terminals Gas processing and treatment facilities Brownfield modifications and asset optimisation programmes LNG LNG export and import terminals Liquefaction and regasification facilities FLNG developments LNG storage and transportation infrastructure Associated utilities and supporting infrastructure Nuclear New nuclear build programmes Small Modular Reactors (SMRs) and Advanced Modular Reactors (AMRs) Nuclear infrastructure and supporting facilities Nuclear decommissioning and waste management programmes Major capital investments across the nuclear lifecycle Clean & Low Carbon Energy Hydrogen production, storage and transportation Carbon Capture, Utilisation and Storage (CCUS) Sustainable fuels and energy transition infrastructure Energy decarbonisation programmes Industrial low carbon transformation projects Power Generation Conventional thermal power generation Gas fired generation Renewable energy developments Hybrid energy solutions Energy infrastructure supporting security of supply and decarbonisation objectives Power Transmission & Distribution Transmission network expansion programmes Substations and grid infrastructure Interconnectors and strategic power networks Distribution network upgrades Grid modernisation and resilience programmes Mining Mining and minerals processing facilities Greenfield and brownfield developments Critical minerals and battery materials projects Infrastructure, logistics and export facilities Operational improvement and expansion programmes Leadership & Collaboration Work collaboratively across Turner & Townsend's global and regional businesses to drive growth and client value. Provide market insight and commercial guidance to sector and regional leadership teams. Support the development of business development capability across the organisation. Champion collaboration, innovation and knowledge sharing across teams. Promote the use of digital tools, data analytics and AI enabled solutions to enhance client outcomes and business performance. Act as an ambassador for Turner & Townsend's values, culture and reputation. Qualifications Essential Significant business development experience within Energy & Natural Resources, infrastructure, professional services, consultancy, engineering or project delivery environments. Demonstrated success in originating and securing major capital programmes, projects or framework agreements. Deep sector knowledge across one or more of the following: Oil & Gas LNG Nuclear Clean & Low Carbon Energy Power Generation Power Transmission & Distribution Mining Proven ability to develop and maintain executive-level client relationships. Experience leading complex pursuits, proposals and commercial negotiations. Strong understanding of major capital project delivery and investment lifecycles. Experience operating effectively in international and multi stakeholder environments. Preferred Experience across multiple Energy & Natural Resources sub sectors. Existing network within global developers, operators, utilities, investors and government organisations. Degree qualified in an engineering, commercial, business or related discipline. Professional membership of relevant industry bodies. Personal Attributes Strategic and commercially driven. Credible and influential with senior stakeholders. Strong communicator and relationship builder. Entrepreneurial and growth focused. Collaborative and globally minded. Resilient, proactive and highly self motivated. Innovative with a strong appreciation for digital and AI enabled business solutions. Results oriented with a strong focus on client value and sustainable growth. Success Measures Growth of qualified opportunity pipeline. Revenue and margin contribution. Strategic account development and client satisfaction. Win rate on targeted opportunities and strategic pursuits. Expansion of Turner & Townsend's market position across Energy & Natural Resources. Development of executive level client relationships. Contribution to the achievement of global sector growth objectives. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community.
Application Support Engineer
Talan Group
Role Overview Talan is seeking an experienced Application Support Engineer to join a high-performing global team supporting the eTrading environment for a leading investment banking client. Operating within a Production & Application Support function, this role sits at the heart of front-office trading technology, ensuring the stability, performance, and continuous improvement of critical electronic trading platforms. You will work in a complex, low-latency environment supporting high-volume trading flows, interacting closely with trading desks, development teams, and infrastructure specialists across a global follow-the-sun support model. Key Responsibilities Oversee day-to-day production support activities, including monitoring, incident management, and capacity planning Act as a key point of contact for issue resolution, liaising with traders, developers, infrastructure teams, and external vendors Take ownership of assigned applications and platforms, developing deep technical expertise Support and enhance electronic trading systems, including pricing engines, algorithmic trading components, and STP workflows Manage connectivity to external trading venues (e.g. exchanges, ECNs, market data providers) Contribute to system design improvements, focusing on resilience, scalability, and performance optimisation Coordinate release and change management activities, ensuring robust deployment processes Participate in a shift-based rota (7am-6pm coverage) and on-call support, including occasional weekend work Collaborate with global teams across Europe, North America, and Asia within a follow-the-sun support model Continuously improve documentation, monitoring, and operational processes Required Skills & Experience Strong experience in Application Support within electronic trading or capital markets environments Solid expertise across Linux and Windows server environments Experienced withinWintel Engineering Good understanding of market connectivity, networking, and infrastructure (firewalls, multicast, latency considerations) Ability to analyse system performance across CPU, memory, network, and messaging layers Proficiency in scripting and automation (e.g. Python, Shell, PowerShell, SQL) Experience with CI/CD and deployment tools (e.g. Jenkins, Ansible, Artifactory) Familiarity with application stacks involving Java, C++, or .NET Strong stakeholder engagement skills with the ability to operate in a front office facing role Proven ability to manage incidents and deliver improvements in high pressure environments Experience with ION trading platforms or similar vendor systems Knowledge of multicast messaging and low latency trading architectures Monitoring tools such as Geneos or Zabbix Experience with Splunk or similar log analytics platforms
12/07/2026
Full time
Role Overview Talan is seeking an experienced Application Support Engineer to join a high-performing global team supporting the eTrading environment for a leading investment banking client. Operating within a Production & Application Support function, this role sits at the heart of front-office trading technology, ensuring the stability, performance, and continuous improvement of critical electronic trading platforms. You will work in a complex, low-latency environment supporting high-volume trading flows, interacting closely with trading desks, development teams, and infrastructure specialists across a global follow-the-sun support model. Key Responsibilities Oversee day-to-day production support activities, including monitoring, incident management, and capacity planning Act as a key point of contact for issue resolution, liaising with traders, developers, infrastructure teams, and external vendors Take ownership of assigned applications and platforms, developing deep technical expertise Support and enhance electronic trading systems, including pricing engines, algorithmic trading components, and STP workflows Manage connectivity to external trading venues (e.g. exchanges, ECNs, market data providers) Contribute to system design improvements, focusing on resilience, scalability, and performance optimisation Coordinate release and change management activities, ensuring robust deployment processes Participate in a shift-based rota (7am-6pm coverage) and on-call support, including occasional weekend work Collaborate with global teams across Europe, North America, and Asia within a follow-the-sun support model Continuously improve documentation, monitoring, and operational processes Required Skills & Experience Strong experience in Application Support within electronic trading or capital markets environments Solid expertise across Linux and Windows server environments Experienced withinWintel Engineering Good understanding of market connectivity, networking, and infrastructure (firewalls, multicast, latency considerations) Ability to analyse system performance across CPU, memory, network, and messaging layers Proficiency in scripting and automation (e.g. Python, Shell, PowerShell, SQL) Experience with CI/CD and deployment tools (e.g. Jenkins, Ansible, Artifactory) Familiarity with application stacks involving Java, C++, or .NET Strong stakeholder engagement skills with the ability to operate in a front office facing role Proven ability to manage incidents and deliver improvements in high pressure environments Experience with ION trading platforms or similar vendor systems Knowledge of multicast messaging and low latency trading architectures Monitoring tools such as Geneos or Zabbix Experience with Splunk or similar log analytics platforms
Data Analyst - Pitstops
relaytech.co
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
11/07/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Data Analyst - Pitstops
RELAY Technologies
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
11/07/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Pricing Analytics Product Owner - Hybrid & Growth
Chubblifefund
Chubblifefund seeks an Analytics Pricing Product Owner in Greater London to bridge actuarial pricing teams and data technology squads. This role is integral to defining analytics product backlogs and driving agile delivery. The ideal candidate has 2-4 years in P&C insurance pricing, proficiency in SQL and Python, and strong communication skills. Benefits include competitive salary, hybrid working options, and extensive learning opportunities.
11/07/2026
Full time
Chubblifefund seeks an Analytics Pricing Product Owner in Greater London to bridge actuarial pricing teams and data technology squads. This role is integral to defining analytics product backlogs and driving agile delivery. The ideal candidate has 2-4 years in P&C insurance pricing, proficiency in SQL and Python, and strong communication skills. Benefits include competitive salary, hybrid working options, and extensive learning opportunities.

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