At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution. We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech. At our core, we believe work is about more than just numbers it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued. Join us and become part of a company that's empowering people to unlock their digital potential! Introduction As an Associate Analytics Engineer, you will play a foundational role in shaping how AI interacts with our data. You will be responsible for building and maintaining a robust semantic layer using dbt and Snowflake, ensuring our data is clean, well documented, and ready for consumption by both human analysts and AI agents. In doing so, you will help democratise access to key insights across the business, empowering teams at every level to make better, faster decisions without needing to be technical experts. This is an exciting moment for someone early in their career to help define how the next generation of data tooling is built and used. You will be supported by an experienced team and given real ownership from day one, with a clear path to grow into a more senior analytics engineering role as your skills develop. Job Responsibilities Build and maintain dbt models to create a reliable, well structured semantic layer on top of Snowflake Design and manage data models optimised for use by AI agents and LLM based tooling (including Optimizely's own Opal product) Develop and maintain metadata, including descriptions, lineage, and business context, to enable AI agents to accurately understand and query the data Experiment with AI agents and LLM based tooling to explore how data models and context layers can power intelligent, autonomous workflows Build metrics to track the quality of data, and actively monitor these to provide assurance to business users Collaborate with data engineers, analysts, and data scientists to translate business requirements into scalable, reusable data models Contribute to documentation standards and best practices across the team Knowledge and Experience At least 1 year of working experience, with knowledge of SQL gained through coursework, projects, or early professional experience Exposure to or interest in dbt for data modelling and transformation A clear vision for how AI and LLMs can transform the way businesses use and act on data, and a drive to help make that a reality Exposure to prompt engineering or LLM based tooling Strong attention to detail, particularly regarding documentation Education Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics, Statistics, Physics, Economics, or a related quantitative discipline - or equivalent practical experience. Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
07/06/2026
Full time
At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution. We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech. At our core, we believe work is about more than just numbers it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued. Join us and become part of a company that's empowering people to unlock their digital potential! Introduction As an Associate Analytics Engineer, you will play a foundational role in shaping how AI interacts with our data. You will be responsible for building and maintaining a robust semantic layer using dbt and Snowflake, ensuring our data is clean, well documented, and ready for consumption by both human analysts and AI agents. In doing so, you will help democratise access to key insights across the business, empowering teams at every level to make better, faster decisions without needing to be technical experts. This is an exciting moment for someone early in their career to help define how the next generation of data tooling is built and used. You will be supported by an experienced team and given real ownership from day one, with a clear path to grow into a more senior analytics engineering role as your skills develop. Job Responsibilities Build and maintain dbt models to create a reliable, well structured semantic layer on top of Snowflake Design and manage data models optimised for use by AI agents and LLM based tooling (including Optimizely's own Opal product) Develop and maintain metadata, including descriptions, lineage, and business context, to enable AI agents to accurately understand and query the data Experiment with AI agents and LLM based tooling to explore how data models and context layers can power intelligent, autonomous workflows Build metrics to track the quality of data, and actively monitor these to provide assurance to business users Collaborate with data engineers, analysts, and data scientists to translate business requirements into scalable, reusable data models Contribute to documentation standards and best practices across the team Knowledge and Experience At least 1 year of working experience, with knowledge of SQL gained through coursework, projects, or early professional experience Exposure to or interest in dbt for data modelling and transformation A clear vision for how AI and LLMs can transform the way businesses use and act on data, and a drive to help make that a reality Exposure to prompt engineering or LLM based tooling Strong attention to detail, particularly regarding documentation Education Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics, Statistics, Physics, Economics, or a related quantitative discipline - or equivalent practical experience. Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Overview Montagu Evans is a UK property consultancy that helps clients unlock value from complexity, because that's where the most meaningful opportunities live. Our purpose is to bring clarity, creativity, and conviction to the complex. We are experts who collaborate to create value, not just preserve it and our team is built for impact, not oversight. We specialise in high-value, complex assets across the property lifecycle, where political, technical or commercial challenges demand a joined-up approach. THE FIRM THE TEAM/DEPARTMENT This role is to sit within our Advisory Department led by Josh Myerson and comprises 5 Teams: Valuation, Asset and Investment Advisory Development Advisory Rating Advisory Residential Valuation Advisory Strategic Advisory Advisory comprises of over 130 experts across all 3 of our national offices. Advisory benefits from a huge critical mass of expertise and a diversity of experience. Projects can range from: Placemaking the evolution of our town centres where we advise owners on asset management and repurposing Strategic development advice to the public and private sector on delivering their medium to long term objectives Minimising the costs of re-development for some of London's largest developers through rating strategy Supporting residential developers value land be that for viability, acquisition or the formation of a new garden town Helping the owners and occupiers of major portfolios secure the correct model both operational and financially through strategic thinking and problem solving Innovating through valuations of some of the most interesting public and private property portfolios spread across the firm's key sectors of Town Centres, Healthcare, Housing and London Advisory is: Extracting and unlocking value Interpreting policy to maximise benefits for our clients Applying innovative ideas to challenge the status quo Counselling clients to achieve their goals and objectives Supporting clients critical thinking to improve the performance of their assets Simplifying complex problems and creating solutions ROLE OVERVIEW We are seeking an Analyst to assist in delivering high quality, evidence-led advice to our clients. The role will primarily support our Strategic Economics and Case-making and Programme and Portfolio Delivery sub-teams, however the successful candidate will also be expected to support other areas of the DSA team as needs arise. This is a varied role, encompassing quantitative analysis, strategic insight, project management, and business development support. The successful candidate will be expected to take an active role in the day-to-day delivery of client work as well as taking responsibility for several supporting tasks within the team. Responsibilities Lead the preparation of quantitative and qualitative analysis to support client deliverables, including for economic impact assessments (and related workstreams), business cases, place strategies and asset/portfolio reviews. Support Senior Advisors, Associates, and Partners with the preparation of high-quality client outputs, including reports, slide decks and presentations. Support with project management on larger or more complex commissions, including developing project execution plans, programmes and action trackers, and coordinating meetings and workshops. Support business development activity, including bid writing, market and policy research, and pitch preparation. Act as a key internal point of contact within DSA for data and research queries, working with colleagues to develop and maintain databases, analytical tools, and market commentary. This will include close collaboration with the central ME research team. Undertake GIS mapping and spatial analysis (training will be provided). Qualifications Strong quantitative analysis skills, ideally within a real estate, planning, or economic advisory context. Ability to translate data and research into high-quality insights that support strategic decision-making and create value for clients. Excellent written and visual communication skills, including report writing and presentation preparation. Confidence and capability to participate in client meetings, workshops, and internal project discussions alongside more senior colleagues. High attention to detail, producing robust, well-structured outputs that can be relied upon by both clients and colleagues. Self-starter with the ability to manage multiple tasks independently and proactively. Commercial awareness, with an understanding of the business context of advisory work and the importance of efficient project deliver.
07/06/2026
Full time
Overview Montagu Evans is a UK property consultancy that helps clients unlock value from complexity, because that's where the most meaningful opportunities live. Our purpose is to bring clarity, creativity, and conviction to the complex. We are experts who collaborate to create value, not just preserve it and our team is built for impact, not oversight. We specialise in high-value, complex assets across the property lifecycle, where political, technical or commercial challenges demand a joined-up approach. THE FIRM THE TEAM/DEPARTMENT This role is to sit within our Advisory Department led by Josh Myerson and comprises 5 Teams: Valuation, Asset and Investment Advisory Development Advisory Rating Advisory Residential Valuation Advisory Strategic Advisory Advisory comprises of over 130 experts across all 3 of our national offices. Advisory benefits from a huge critical mass of expertise and a diversity of experience. Projects can range from: Placemaking the evolution of our town centres where we advise owners on asset management and repurposing Strategic development advice to the public and private sector on delivering their medium to long term objectives Minimising the costs of re-development for some of London's largest developers through rating strategy Supporting residential developers value land be that for viability, acquisition or the formation of a new garden town Helping the owners and occupiers of major portfolios secure the correct model both operational and financially through strategic thinking and problem solving Innovating through valuations of some of the most interesting public and private property portfolios spread across the firm's key sectors of Town Centres, Healthcare, Housing and London Advisory is: Extracting and unlocking value Interpreting policy to maximise benefits for our clients Applying innovative ideas to challenge the status quo Counselling clients to achieve their goals and objectives Supporting clients critical thinking to improve the performance of their assets Simplifying complex problems and creating solutions ROLE OVERVIEW We are seeking an Analyst to assist in delivering high quality, evidence-led advice to our clients. The role will primarily support our Strategic Economics and Case-making and Programme and Portfolio Delivery sub-teams, however the successful candidate will also be expected to support other areas of the DSA team as needs arise. This is a varied role, encompassing quantitative analysis, strategic insight, project management, and business development support. The successful candidate will be expected to take an active role in the day-to-day delivery of client work as well as taking responsibility for several supporting tasks within the team. Responsibilities Lead the preparation of quantitative and qualitative analysis to support client deliverables, including for economic impact assessments (and related workstreams), business cases, place strategies and asset/portfolio reviews. Support Senior Advisors, Associates, and Partners with the preparation of high-quality client outputs, including reports, slide decks and presentations. Support with project management on larger or more complex commissions, including developing project execution plans, programmes and action trackers, and coordinating meetings and workshops. Support business development activity, including bid writing, market and policy research, and pitch preparation. Act as a key internal point of contact within DSA for data and research queries, working with colleagues to develop and maintain databases, analytical tools, and market commentary. This will include close collaboration with the central ME research team. Undertake GIS mapping and spatial analysis (training will be provided). Qualifications Strong quantitative analysis skills, ideally within a real estate, planning, or economic advisory context. Ability to translate data and research into high-quality insights that support strategic decision-making and create value for clients. Excellent written and visual communication skills, including report writing and presentation preparation. Confidence and capability to participate in client meetings, workshops, and internal project discussions alongside more senior colleagues. High attention to detail, producing robust, well-structured outputs that can be relied upon by both clients and colleagues. Self-starter with the ability to manage multiple tasks independently and proactively. Commercial awareness, with an understanding of the business context of advisory work and the importance of efficient project deliver.
Team Overview XiP is building a next-generation cross-asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs. Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on-demand, and we can run up to tens of thousands of replicas of our services across all asset classes. Role Overview We are seeking a Senior Engineer to fill the role of 'Applications Development Technology Lead Analyst' on the XiNG large scale distributed calculation platform (XiP). In this role you will design, build, and maintain the calculation engine at the heart of the XiP platform. This engine is responsible for c. 0.5 billion risk & suitability calculations at Citi every day. A single customer run compresses 17 million minutes of compute into a single 90 minute execution. Run on hundreds of thousands of pods across the entire XiP platform every day this calculation engine is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure. As an engineer working on the calculation engine. You will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of our platform. Responsibilities Take part in the shared responsibility for the long term strategic direction of the XiP Calculation Engine: Apply your experience and skills to develop future versions of the engine, making it faster, utilizing resources better, and scaling to even greater sizes. Add new features without impacting performance of the platform in undesirable ways, taking care that small changes multiplied by millions of calculations have high cost. Solve hard problems such as transferring small amounts of data to a huge number of machines. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide mid level developers, providing technical advice, code reviews, and career development support; allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery; foster a collaborative and growth oriented team environment, encouraging best practices and continuous learning. Implement changes and improvements to Citi's Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms of the engine which regularly parallelizes 250,000 hours of compute into a single 90 minute execution: Lead design, development, and implementation of enhancements, focusing on optimizing distribution mechanisms, analyze current parallelization strategies, and identify opportunities to further improve efficiency, scalability, and throughput. Operationally support the optimization of risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations: Monitor and analyze distributed execution of large scale risk calculations, identify performance bottlenecks and inefficiencies, and provide subject matter expertise to guide operational improvements, leveraging deep technical knowledge to recommend and implement optimizations that enhance calculation speed and resource utilization. Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands; coordinate with stakeholders to ensure that scaling efforts align with customer needs. Provide specialized customer support to optimize and improve large, distributed calculations: Act as a primary point of contact for clients to address issues and optimize inefficiencies that arise during distributed workload execution. Qualifications Multiple years professional software development experience with Java. Solid experience with Java frameworks (e.g., Spring, Spring Boot, Quarkus). Experience designing, building, and maintaining large scale, distributed systems. Experience with RESTful API design and implementation. Strong understanding of object oriented programming and design patterns. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Exposure to cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is desirable. Experience with unit testing, integration testing, and test automation frameworks (JUnit, Mockito). Experience working in Agile/Scrum development environments. Practical experience with Python for scripting, automation, or data processing tasks. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Equal Opportunity Statement Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, 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 Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
07/06/2026
Full time
Team Overview XiP is building a next-generation cross-asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs. Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on-demand, and we can run up to tens of thousands of replicas of our services across all asset classes. Role Overview We are seeking a Senior Engineer to fill the role of 'Applications Development Technology Lead Analyst' on the XiNG large scale distributed calculation platform (XiP). In this role you will design, build, and maintain the calculation engine at the heart of the XiP platform. This engine is responsible for c. 0.5 billion risk & suitability calculations at Citi every day. A single customer run compresses 17 million minutes of compute into a single 90 minute execution. Run on hundreds of thousands of pods across the entire XiP platform every day this calculation engine is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure. As an engineer working on the calculation engine. You will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of our platform. Responsibilities Take part in the shared responsibility for the long term strategic direction of the XiP Calculation Engine: Apply your experience and skills to develop future versions of the engine, making it faster, utilizing resources better, and scaling to even greater sizes. Add new features without impacting performance of the platform in undesirable ways, taking care that small changes multiplied by millions of calculations have high cost. Solve hard problems such as transferring small amounts of data to a huge number of machines. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide mid level developers, providing technical advice, code reviews, and career development support; allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery; foster a collaborative and growth oriented team environment, encouraging best practices and continuous learning. Implement changes and improvements to Citi's Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms of the engine which regularly parallelizes 250,000 hours of compute into a single 90 minute execution: Lead design, development, and implementation of enhancements, focusing on optimizing distribution mechanisms, analyze current parallelization strategies, and identify opportunities to further improve efficiency, scalability, and throughput. Operationally support the optimization of risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations: Monitor and analyze distributed execution of large scale risk calculations, identify performance bottlenecks and inefficiencies, and provide subject matter expertise to guide operational improvements, leveraging deep technical knowledge to recommend and implement optimizations that enhance calculation speed and resource utilization. Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands; coordinate with stakeholders to ensure that scaling efforts align with customer needs. Provide specialized customer support to optimize and improve large, distributed calculations: Act as a primary point of contact for clients to address issues and optimize inefficiencies that arise during distributed workload execution. Qualifications Multiple years professional software development experience with Java. Solid experience with Java frameworks (e.g., Spring, Spring Boot, Quarkus). Experience designing, building, and maintaining large scale, distributed systems. Experience with RESTful API design and implementation. Strong understanding of object oriented programming and design patterns. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Exposure to cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is desirable. Experience with unit testing, integration testing, and test automation frameworks (JUnit, Mockito). Experience working in Agile/Scrum development environments. Practical experience with Python for scripting, automation, or data processing tasks. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Equal Opportunity Statement Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, 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 Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Team Overview XiP is building a next generation cross asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs. Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on demand, and we can run up to tens of thousands of replicas of our services across all asset classes. Role Overview We are seeking a Senior Engineer to fill the role of "Applications Development Technology Lead Analyst" on the XiNG large scale distributed calculation platform (XiP). In this role you will design, build, and maintain the calculation engine at the heart of the XiP platform. This engine is responsible for c. 0.5 billion risk & suitability calculations at Citi every day. A single customer run compresses 17 million minutes of compute into a single 90 minute execution. Run on hundreds of thousands of pods across the entire XiP platform every day, this calculation engine is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure. As an engineer working on the calculation engine, you will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of our platform. Responsibilities Take part of the shared responsibility for the long term strategic direction of the XiP Calculation Engine: Apply your experience and skills to develop the future versions of the calculation engine. This means making it faster, utilizing resources better, and scaling to even greater sizes. This means adding new features without impacting performance of the platform in an undesirable manner - small changes multiplied by millions of calculations have a high cost. This means solving hard problems like transferring small amounts of data to a huge number of machines. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide mid level developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth oriented team environment, encouraging best practices and continuous learning. Implement changes and improvements to Citi's Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms of the engine which regularly parallelises 250,000 hours of compute into a single 90 minute execution: Lead the design, development, and implementation of enhancements to the Risk Calculation Engine, focusing on optimizing its distribution mechanisms. Analyze current parallelisation strategies and identify opportunities to further improve efficiency, scalability, and throughput. Operationally support the optimisation of Risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations: Monitor and analyse the distributed execution of large scale risk calculations, identifying performance bottlenecks and inefficiencies. Provide subject matter expertise to guide operational improvements, leveraging deep technical knowledge to recommend and implement optimisations that enhance calculation speed and resource utilisation. Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands. Coordinate with stakeholders to ensure that all scaling efforts are aligned with customer needs. Provide specialised customer support to optimise and improve large, distributed calculations: Act as a primary point of contact for clients to address issues and optimise inefficiencies that arise during distributed workload execution. Qualifications Multiple years professional software development experience with Java. Solid experience with Java frameworks (e.g., Spring, Spring Boot, Quarkus). Experience designing, building, and maintaining large scale, distributed systems. Experience with RESTful API design and implementation. Strong understanding of object oriented programming and design patterns. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerisation (e.g., Docker, Kubernetes) is desirable. Experience with unit testing, integration testing, and test automation frameworks (e.g., JUnit, Mockito). Experience working in Agile/Scrum development environments. Practical experience with Python for scripting, automation, or data processing tasks. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, colour, 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 Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
07/06/2026
Full time
Team Overview XiP is building a next generation cross asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs. Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on demand, and we can run up to tens of thousands of replicas of our services across all asset classes. Role Overview We are seeking a Senior Engineer to fill the role of "Applications Development Technology Lead Analyst" on the XiNG large scale distributed calculation platform (XiP). In this role you will design, build, and maintain the calculation engine at the heart of the XiP platform. This engine is responsible for c. 0.5 billion risk & suitability calculations at Citi every day. A single customer run compresses 17 million minutes of compute into a single 90 minute execution. Run on hundreds of thousands of pods across the entire XiP platform every day, this calculation engine is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure. As an engineer working on the calculation engine, you will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of our platform. Responsibilities Take part of the shared responsibility for the long term strategic direction of the XiP Calculation Engine: Apply your experience and skills to develop the future versions of the calculation engine. This means making it faster, utilizing resources better, and scaling to even greater sizes. This means adding new features without impacting performance of the platform in an undesirable manner - small changes multiplied by millions of calculations have a high cost. This means solving hard problems like transferring small amounts of data to a huge number of machines. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide mid level developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth oriented team environment, encouraging best practices and continuous learning. Implement changes and improvements to Citi's Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms of the engine which regularly parallelises 250,000 hours of compute into a single 90 minute execution: Lead the design, development, and implementation of enhancements to the Risk Calculation Engine, focusing on optimizing its distribution mechanisms. Analyze current parallelisation strategies and identify opportunities to further improve efficiency, scalability, and throughput. Operationally support the optimisation of Risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations: Monitor and analyse the distributed execution of large scale risk calculations, identifying performance bottlenecks and inefficiencies. Provide subject matter expertise to guide operational improvements, leveraging deep technical knowledge to recommend and implement optimisations that enhance calculation speed and resource utilisation. Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands. Coordinate with stakeholders to ensure that all scaling efforts are aligned with customer needs. Provide specialised customer support to optimise and improve large, distributed calculations: Act as a primary point of contact for clients to address issues and optimise inefficiencies that arise during distributed workload execution. Qualifications Multiple years professional software development experience with Java. Solid experience with Java frameworks (e.g., Spring, Spring Boot, Quarkus). Experience designing, building, and maintaining large scale, distributed systems. Experience with RESTful API design and implementation. Strong understanding of object oriented programming and design patterns. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerisation (e.g., Docker, Kubernetes) is desirable. Experience with unit testing, integration testing, and test automation frameworks (e.g., JUnit, Mockito). Experience working in Agile/Scrum development environments. Practical experience with Python for scripting, automation, or data processing tasks. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, colour, 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 Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
A leading cloud-based software company seeks a Sr. Data Analyst in Greater London. The successful candidate will partner with Sales leaders, providing insights to enhance productivity and support strategic decisions. You will need a Bachelor's degree in a quantitative field and at least 5 years of relevant analytics experience, especially in Cloud and SaaS. Strong SQL and data visualization skills are essential. This role offers growth opportunities in a dynamic, inclusive environment.
07/06/2026
Full time
A leading cloud-based software company seeks a Sr. Data Analyst in Greater London. The successful candidate will partner with Sales leaders, providing insights to enhance productivity and support strategic decisions. You will need a Bachelor's degree in a quantitative field and at least 5 years of relevant analytics experience, especially in Cloud and SaaS. Strong SQL and data visualization skills are essential. This role offers growth opportunities in a dynamic, inclusive environment.
Overview For over 20 years, Smartsheet has helped people and teams achieve-well, anything. From seamless work management to smart, scalable solutions, we've always worked with flow. We're building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we're creating space-space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that's magic at work, and it's what we show up for everyday. Smartsheet is looking for an experienced Sr. Data Analyst to support and accelerate the productivity of our Go-To Market organization. In this role, you will help define Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. Our ideal candidate is curious and displays an ability to translate business questions into analysis, reports, and recommendations. To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions. In 2005, Smartsheet was founded on the idea that teams and millions of people worldwide deserve a better way to deliver their very best work. Today, we deliver a leading cloud based platform for work execution, empowering organizations to plan, capture, track, automate, and report on work at scale, resulting in more efficient processes and better business outcomes. You will report to our Director, GTM Operations (EMEA) Responsibilities Act as a business partner to Sales leaders to understand and identify essential business questions and challenges Lead projects to develop answers and solutions to those questions and challenges as well as developing KPIs to track results Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel Partner with engineering, data science, and other analytics teams to build scalable analytics solutions Present insights to executives that will drive performance improvements and establish scalable process enhancements across the organization Mine large datasets, draw relevant insights and create visualizations to summarize findings Analyze and monitor data for anomalies (recognizing trends and data quality) Guide commission and territory planning processes with analytical support Be a mentor and leader to the more junior analysts on the team Perform other duties as assigned Qualifications Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics) 5+ years of experience in an analytics role with increasing responsibility Experience in Cloud and SaaS go-to-market (GTM) Channel / Partner experience nice to have Expertise in SQL and preparing data for analysis, modeling, and visualization Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc. Experience with statistics (time series analysis, cluster analysis, multivariate analysis) Experience publishing and presenting data and findings to executives and non data users Legally eligible to work in the UK on an ongoing basis Benefits At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You'll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths-because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you're doing work that stretches you, excites you, and connects you to something bigger, that's magic at work. Let's build what's next, together. Equal Opportunity Employer Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
07/06/2026
Full time
Overview For over 20 years, Smartsheet has helped people and teams achieve-well, anything. From seamless work management to smart, scalable solutions, we've always worked with flow. We're building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we're creating space-space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that's magic at work, and it's what we show up for everyday. Smartsheet is looking for an experienced Sr. Data Analyst to support and accelerate the productivity of our Go-To Market organization. In this role, you will help define Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. Our ideal candidate is curious and displays an ability to translate business questions into analysis, reports, and recommendations. To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions. In 2005, Smartsheet was founded on the idea that teams and millions of people worldwide deserve a better way to deliver their very best work. Today, we deliver a leading cloud based platform for work execution, empowering organizations to plan, capture, track, automate, and report on work at scale, resulting in more efficient processes and better business outcomes. You will report to our Director, GTM Operations (EMEA) Responsibilities Act as a business partner to Sales leaders to understand and identify essential business questions and challenges Lead projects to develop answers and solutions to those questions and challenges as well as developing KPIs to track results Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel Partner with engineering, data science, and other analytics teams to build scalable analytics solutions Present insights to executives that will drive performance improvements and establish scalable process enhancements across the organization Mine large datasets, draw relevant insights and create visualizations to summarize findings Analyze and monitor data for anomalies (recognizing trends and data quality) Guide commission and territory planning processes with analytical support Be a mentor and leader to the more junior analysts on the team Perform other duties as assigned Qualifications Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics) 5+ years of experience in an analytics role with increasing responsibility Experience in Cloud and SaaS go-to-market (GTM) Channel / Partner experience nice to have Expertise in SQL and preparing data for analysis, modeling, and visualization Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc. Experience with statistics (time series analysis, cluster analysis, multivariate analysis) Experience publishing and presenting data and findings to executives and non data users Legally eligible to work in the UK on an ongoing basis Benefits At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You'll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths-because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you're doing work that stretches you, excites you, and connects you to something bigger, that's magic at work. Let's build what's next, together. Equal Opportunity Employer Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Senior Software Developer Department: Engineering Employment Type: Full Time Location: London, UK Description About White Swan Data Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones. Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board. As a startup, we offer a dynamic and entrepreneurial environment where you'll work on impactful projects and have the autonomy to explore new ideas. In person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry. About the Role We have an opportunity for an experienced developer to join a fast developing area of our business. This role will be joining a small and dynamic team developing cutting edge trading systems. We are building systems that process real time market and event based information to execute automated trading strategies with millisecond latency. This is an opportunity to work on challenging technical problems in a collaborative environment where your contributions directly impact our platform's success. Key Responsibilities Design, develop, and optimise cloud based low latency data processing pipelines. Implement and maintain integrations with multiple trading platform. Enhance existing trading strategy implementations for improved performance. Design and implement real time data processing and analytical reporting pipelines. Monitor and optimise system performance to maintain millisecond level latency targets. Collaborate closely with quantitative analysts to translate trading strategies into production code. Maintain and improve our GCP based infrastructure and deployment pipelines. Skills, Knowledge and Expertise Must have: Programming Proficiency: Strong skills in Python and Java. Cloud & Infrastructure: Hands on experience with Google Cloud Platform (GCP) and Docker containerisation. API Development: Experience building and integrating with RESTful APIs, particularly for real time applications. Low Latency Systems: Understanding of performance optimisation techniques and experience building resilient systems with strict latency requirements, streaming data architectures and event driven systems. Data Engineering: Solid grasp of data pipeline design, ETL processes, and schema design for both transactional and analytical workloads. Nice to have: Experience in a trading environment. Industry experience in wagering/betting. Benefits Salary depending on experience. Annual discretionary performance bonus. 25 days holiday per annum, plus UK bank holidays. Private health & dental insurance. Optical cover through Aviva. Pension plan. Gympass membership to over 1900 gyms and wellness businesses. Breakfast bought every day and lunch bought twice a week. Free coffee & snacks at the office. Regular team events & socials. Company Culture At White Swan Data we have created a highly dynamic and entrepreneurial working environment. We value innovation, ambition, and dedication in our employees, and strive to foster a culture which drives excellence. The work is often fast paced, challenging, and there is never a dull moment. We are always chasing the next win, and make sure to celebrate it and recognise individual contributions to our overall success. At White Swan Data, we recognise that building a diverse and inclusive workforce within a highly technical field presents both opportunities and challenges. We recognise the value that a variety of perspectives can bring to innovation, problem solving, and business success. A team composed of individuals from different backgrounds, experiences, and ways of thinking fosters creativity, enhances decision making, and ultimately strengthens our ability to tackle complex challenges.
06/06/2026
Full time
Senior Software Developer Department: Engineering Employment Type: Full Time Location: London, UK Description About White Swan Data Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones. Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board. As a startup, we offer a dynamic and entrepreneurial environment where you'll work on impactful projects and have the autonomy to explore new ideas. In person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry. About the Role We have an opportunity for an experienced developer to join a fast developing area of our business. This role will be joining a small and dynamic team developing cutting edge trading systems. We are building systems that process real time market and event based information to execute automated trading strategies with millisecond latency. This is an opportunity to work on challenging technical problems in a collaborative environment where your contributions directly impact our platform's success. Key Responsibilities Design, develop, and optimise cloud based low latency data processing pipelines. Implement and maintain integrations with multiple trading platform. Enhance existing trading strategy implementations for improved performance. Design and implement real time data processing and analytical reporting pipelines. Monitor and optimise system performance to maintain millisecond level latency targets. Collaborate closely with quantitative analysts to translate trading strategies into production code. Maintain and improve our GCP based infrastructure and deployment pipelines. Skills, Knowledge and Expertise Must have: Programming Proficiency: Strong skills in Python and Java. Cloud & Infrastructure: Hands on experience with Google Cloud Platform (GCP) and Docker containerisation. API Development: Experience building and integrating with RESTful APIs, particularly for real time applications. Low Latency Systems: Understanding of performance optimisation techniques and experience building resilient systems with strict latency requirements, streaming data architectures and event driven systems. Data Engineering: Solid grasp of data pipeline design, ETL processes, and schema design for both transactional and analytical workloads. Nice to have: Experience in a trading environment. Industry experience in wagering/betting. Benefits Salary depending on experience. Annual discretionary performance bonus. 25 days holiday per annum, plus UK bank holidays. Private health & dental insurance. Optical cover through Aviva. Pension plan. Gympass membership to over 1900 gyms and wellness businesses. Breakfast bought every day and lunch bought twice a week. Free coffee & snacks at the office. Regular team events & socials. Company Culture At White Swan Data we have created a highly dynamic and entrepreneurial working environment. We value innovation, ambition, and dedication in our employees, and strive to foster a culture which drives excellence. The work is often fast paced, challenging, and there is never a dull moment. We are always chasing the next win, and make sure to celebrate it and recognise individual contributions to our overall success. At White Swan Data, we recognise that building a diverse and inclusive workforce within a highly technical field presents both opportunities and challenges. We recognise the value that a variety of perspectives can bring to innovation, problem solving, and business success. A team composed of individuals from different backgrounds, experiences, and ways of thinking fosters creativity, enhances decision making, and ultimately strengthens our ability to tackle complex challenges.
Songtradr, Inc is seeking an Operations professional based in London for a hybrid full-time role. You will manage predictive data modeling and technical execution, liaise with partners on data pipelines, and apply innovative AI-driven approaches to enhance research. The ideal candidate will have 5-7 years in quantitative research, strong R programming skills, and the ability to communicate complex analyses clearly to stakeholders. Enjoy career development opportunities in a dynamic environment.
06/06/2026
Full time
Songtradr, Inc is seeking an Operations professional based in London for a hybrid full-time role. You will manage predictive data modeling and technical execution, liaise with partners on data pipelines, and apply innovative AI-driven approaches to enhance research. The ideal candidate will have 5-7 years in quantitative research, strong R programming skills, and the ability to communicate complex analyses clearly to stakeholders. Enjoy career development opportunities in a dynamic environment.
Overview THE FIRM Montagu Evans is a UK property consultancy that helps clients unlock value from complexity, because that's where the most meaningful opportunities live. Our purpose is to bring clarity, creativity, and conviction to the complex. We are experts who collaborate to create value, not just preserve it and our team is built for impact, not oversight. We specialise in high-value, complex assets across the property lifecycle, where political, technical or commercial challenges demand a joined-up approach. THE TEAM/DEPARTMENT This role is to sit within our Advisory Department led by Josh Myerson and comprises 5 Teams: Valuation, Asset and Investment Advisory Development Advisory Rating Advisory Residential Valuation Advisory Strategic Advisory Advisory comprises of over 130 experts across all 3 of our national offices. Advisory benefits from a huge critical mass of expertise and a diversity of experience. Projects can range from: placemaking the evolution of our town centres where we advise owners on asset management and repurposing; strategic development advice to the public and private sector on delivering their medium to long term objectives; minimising the costs of re-development for some of London's largest developers through rating strategy; supporting residential developers value land be that for viability, acquisition or the formation of a new garden town; helping the owners and occupiers of major portfolios secure the correct model both operational and financially through strategic thinking and problem solving; innovating through valuations of some of the most interesting public and private property portfolios spread across the firms' key sectors of Town Centres, Healthcare, Housing and London. Advisory is Extracting and unlocking value Interpreting policy to maximise benefits for our clients Applying innovative ideas to challenge the status quo Counselling clients to achieve their goals and objectives Supporting clients critical thinking to improve the performance of their assets Simplifying complex problems and creating solutions ROLE OVERVIEW We are seeking an Analyst to assist in delivering high quality, evidence-led advice to our clients. The role will primarily support our Strategic Economics and Case-making and Programme and Portfolio Delivery sub-teams, however the successful candidate will also be expected to support other areas of the DSA team as needs arise. This is a varied role, encompassing quantitative analysis, strategic insight, project management, and business development support. The successful candidate will be expected to take an active role in the day-to-day delivery of client work as well as taking responsibility for several supporting tasks within the team. Responsibilities Lead the preparation of quantitative and qualitative analysis to support client deliverables, including for economic impact assessments (and related workstreams), business cases, place strategies and asset/portfolio reviews. Support Senior Advisors, Associates, and Partners with the preparation of high-quality client outputs, including reports, slide decks and presentations. Support with project management on larger or more complex commissions, including developing project execution plans, programmes and action trackers, and coordinating meetings and workshops. Support business development activity, including bid writing, market and policy research, and pitch preparation. Act as a key internal point of contact within DSA for data and research queries, working with colleagues to develop and maintain databases, analytical tools, and market commentary. This will include close collaboration with the central ME research team. Undertake GIS mapping and spatial analysis (training will be provided). Qualifications Strong quantitative analysis skills, ideally within a real estate, planning, or economic advisory context. Ability to translate data and research into high-quality insights that support strategic decision-making and create value for clients. Excellent written and visual communication skills, including report writing and presentation preparation. Confidence and capability to participate in client meetings, workshops, and internal project discussions alongside more senior colleagues. High attention to detail, producing robust, well-structured outputs that can be relied upon by both clients and colleagues. Self-starter with the ability to manage multiple tasks independently and proactively. Commercial awareness, with an understanding of the business context of advisory work and the importance of efficient project deliver.
06/06/2026
Full time
Overview THE FIRM Montagu Evans is a UK property consultancy that helps clients unlock value from complexity, because that's where the most meaningful opportunities live. Our purpose is to bring clarity, creativity, and conviction to the complex. We are experts who collaborate to create value, not just preserve it and our team is built for impact, not oversight. We specialise in high-value, complex assets across the property lifecycle, where political, technical or commercial challenges demand a joined-up approach. THE TEAM/DEPARTMENT This role is to sit within our Advisory Department led by Josh Myerson and comprises 5 Teams: Valuation, Asset and Investment Advisory Development Advisory Rating Advisory Residential Valuation Advisory Strategic Advisory Advisory comprises of over 130 experts across all 3 of our national offices. Advisory benefits from a huge critical mass of expertise and a diversity of experience. Projects can range from: placemaking the evolution of our town centres where we advise owners on asset management and repurposing; strategic development advice to the public and private sector on delivering their medium to long term objectives; minimising the costs of re-development for some of London's largest developers through rating strategy; supporting residential developers value land be that for viability, acquisition or the formation of a new garden town; helping the owners and occupiers of major portfolios secure the correct model both operational and financially through strategic thinking and problem solving; innovating through valuations of some of the most interesting public and private property portfolios spread across the firms' key sectors of Town Centres, Healthcare, Housing and London. Advisory is Extracting and unlocking value Interpreting policy to maximise benefits for our clients Applying innovative ideas to challenge the status quo Counselling clients to achieve their goals and objectives Supporting clients critical thinking to improve the performance of their assets Simplifying complex problems and creating solutions ROLE OVERVIEW We are seeking an Analyst to assist in delivering high quality, evidence-led advice to our clients. The role will primarily support our Strategic Economics and Case-making and Programme and Portfolio Delivery sub-teams, however the successful candidate will also be expected to support other areas of the DSA team as needs arise. This is a varied role, encompassing quantitative analysis, strategic insight, project management, and business development support. The successful candidate will be expected to take an active role in the day-to-day delivery of client work as well as taking responsibility for several supporting tasks within the team. Responsibilities Lead the preparation of quantitative and qualitative analysis to support client deliverables, including for economic impact assessments (and related workstreams), business cases, place strategies and asset/portfolio reviews. Support Senior Advisors, Associates, and Partners with the preparation of high-quality client outputs, including reports, slide decks and presentations. Support with project management on larger or more complex commissions, including developing project execution plans, programmes and action trackers, and coordinating meetings and workshops. Support business development activity, including bid writing, market and policy research, and pitch preparation. Act as a key internal point of contact within DSA for data and research queries, working with colleagues to develop and maintain databases, analytical tools, and market commentary. This will include close collaboration with the central ME research team. Undertake GIS mapping and spatial analysis (training will be provided). Qualifications Strong quantitative analysis skills, ideally within a real estate, planning, or economic advisory context. Ability to translate data and research into high-quality insights that support strategic decision-making and create value for clients. Excellent written and visual communication skills, including report writing and presentation preparation. Confidence and capability to participate in client meetings, workshops, and internal project discussions alongside more senior colleagues. High attention to detail, producing robust, well-structured outputs that can be relied upon by both clients and colleagues. Self-starter with the ability to manage multiple tasks independently and proactively. Commercial awareness, with an understanding of the business context of advisory work and the importance of efficient project deliver.
What you'll be doing: Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership. Define the long term measurement for your domain, identifying structural growth levers and step change opportunities beyond incremental optimization. Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step change improvements in long term value. Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade off analysis, and risk assessment. Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company level objectives. Design the analytics programme in your domain and execute, and evaluate large scale analysis to test new ideas and measure their effectiveness in driving business outcomes. Act as a senior thought partner to business, operations, product, engineering and data leaders, driving alignment across teams and elevating analytical standards across the organisation. Lead cross domain analytical initiatives (e.g., forecasting, scenario modelling, performance optimisation). What you need to succeed: Demonstrated track record of materially influencing business, operations or product strategy in complex environments, with clear examples of company level impact. Expertise in strategic analytics within a business pillar, ensuring consistent KPI definitions and analytical standards across teams. Resolving ambiguity across business and technical stakeholders, balancing rapid reporting with deeper strategic research, and delivering decision ready insights that clarify trade offs and shape high impact initiatives, even when data is imperfect or incomplete. Strong understanding of subscription and marketplace economics, including LTV modelling, cohort dynamics, retention mechanics, pricing trade offs, and long term value optimisation. Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows. Curiosity, problem solving and critical thinking skills, as well as the ability to proactively identify and address challenges. Ability to influence Directors and VP level stakeholders, navigate conflicting incentives, and drive clarity in high stakes strategic discussions. Interest in the bigger picture, feeling excited to impact the product roadmap and strategy. Experience mentoring and technically guiding senior data analysts, contributing to the overall growth and maturity of the data organisation. Nice to have: Background in 2 sided marketplaces or digital businesses (B2C, B2B2C). Experience in leading the application of advanced analytical approaches (e.g., forecasting, scenario modelling, performance optimisation) to drive structural improvements across a business pillar. Aligning analytical outputs with unified KPI frameworks, evaluating opportunity costs and long term impact, and synthesising cross functional insights into strategic recommendations. Experience with data visualization tools (e.g., Tableau, Looker, Power BI). Master's degree or PhD in a quantitative field. Demonstrated experience developing senior ICs and contributing to raising the analytical bar across teams. Why you'll love it at Preply: An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on learning & development budget and time off for your self development; A competitive financial package with equity, leave allowance and health insurance; Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub; Access to free mental health support platforms; Access to Gympass partnered wellness and gym centres throughout Spain to promote and support well being and physical health; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed Tech company. That means that Preply will consider all applications for employment without regard to race, colour, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
06/06/2026
Full time
What you'll be doing: Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership. Define the long term measurement for your domain, identifying structural growth levers and step change opportunities beyond incremental optimization. Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step change improvements in long term value. Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade off analysis, and risk assessment. Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company level objectives. Design the analytics programme in your domain and execute, and evaluate large scale analysis to test new ideas and measure their effectiveness in driving business outcomes. Act as a senior thought partner to business, operations, product, engineering and data leaders, driving alignment across teams and elevating analytical standards across the organisation. Lead cross domain analytical initiatives (e.g., forecasting, scenario modelling, performance optimisation). What you need to succeed: Demonstrated track record of materially influencing business, operations or product strategy in complex environments, with clear examples of company level impact. Expertise in strategic analytics within a business pillar, ensuring consistent KPI definitions and analytical standards across teams. Resolving ambiguity across business and technical stakeholders, balancing rapid reporting with deeper strategic research, and delivering decision ready insights that clarify trade offs and shape high impact initiatives, even when data is imperfect or incomplete. Strong understanding of subscription and marketplace economics, including LTV modelling, cohort dynamics, retention mechanics, pricing trade offs, and long term value optimisation. Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows. Curiosity, problem solving and critical thinking skills, as well as the ability to proactively identify and address challenges. Ability to influence Directors and VP level stakeholders, navigate conflicting incentives, and drive clarity in high stakes strategic discussions. Interest in the bigger picture, feeling excited to impact the product roadmap and strategy. Experience mentoring and technically guiding senior data analysts, contributing to the overall growth and maturity of the data organisation. Nice to have: Background in 2 sided marketplaces or digital businesses (B2C, B2B2C). Experience in leading the application of advanced analytical approaches (e.g., forecasting, scenario modelling, performance optimisation) to drive structural improvements across a business pillar. Aligning analytical outputs with unified KPI frameworks, evaluating opportunity costs and long term impact, and synthesising cross functional insights into strategic recommendations. Experience with data visualization tools (e.g., Tableau, Looker, Power BI). Master's degree or PhD in a quantitative field. Demonstrated experience developing senior ICs and contributing to raising the analytical bar across teams. Why you'll love it at Preply: An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on learning & development budget and time off for your self development; A competitive financial package with equity, leave allowance and health insurance; Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub; Access to free mental health support platforms; Access to Gympass partnered wellness and gym centres throughout Spain to promote and support well being and physical health; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed Tech company. That means that Preply will consider all applications for employment without regard to race, colour, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
Operations UK, London (Hybrid) Full-Time Main Job Duties Data Modeling & Technical Execution Build and maintain predictive R-models that power research outputs, including implicit and explicit consumer testing results Translate research frameworks into structured analytical models and statistical workflows Ensure data accuracy, integrity, and reproducibility across all quantitative studies Tooling Integration & Platform Enablement Liaise with external research and technology partners to manage data pipelines and integrations Act as the primary technical contact for third-party panel providers (e.g., PureSpectrum, Cint, Dynata) and oversee the end-to-end fieldwork lifecycle Troubleshoot technical issues across data collection, processing, and reporting workflows Contribute to the development of scalable research infrastructure Synthesise disparate data points into a cohesive narrative, including compelling data visualisations and actionable insights, and recommendations Designing clear results presentations (often in Canva) that lead the audience from the initial research question to a clear, data-backed conclusion. Act as a trusted analytical voice in client conversations, shaping the narrative from data to insight and guiding stakeholders toward clear, actionable decisions Partner with Strategy and Client teams to ensure analytical outputs land with impact, influencing both the direction of the work and client decision-making Drive the implementation of AI and automation tools across analysis and reporting workflows Support the development of technology-enabled research products in partnership with Product teams Prototype and test AI-driven approaches to modelling, insight generation, and reporting Balance innovation with methodological rigor to ensure accuracy and trust Desired Skills & Experience Advanced Analytics Expertise: 5-7+ years' experience in quantitative research, analytics, or data science within a research or consultancy environment. Statistical Modelling: Strong proficiency in R or equivalent statistical tools, with experience building predictive and applied models. Survey Programming: Demonstrated expertise in survey logic design, platform deployment, and data validation processes. Data Infrastructure Awareness: Understanding of third-party research platforms, APIs, and data integration workflows. Automation Fluency: Practical experience implementing automation or AI tools to improve efficiency and scalability. Technical Translation: Ability to explain complex analytical processes clearly to research and non-technical stakeholders. Process Orientation: Strong systems thinking with experience building repeatable, scalable analytical workflows. Project & Client Management: Demonstrated ability to manage concurrent projects while maintaining quality, timelines, and confident client communication. Employment Full time. What do you get in return? Inspiration, knowledge, career development, on top of our financial package. You'll also be working with an international bunch of remarkable musically-infused individuals. On this note, please know that Songtradr is an equal opportunities employer. Applicants will not be excluded on the grounds of sex, gender reassignment, pregnancy, maternity, race, marital status, diversity of thought, disability, age, religion, belief, or sexual orientation.
06/06/2026
Full time
Operations UK, London (Hybrid) Full-Time Main Job Duties Data Modeling & Technical Execution Build and maintain predictive R-models that power research outputs, including implicit and explicit consumer testing results Translate research frameworks into structured analytical models and statistical workflows Ensure data accuracy, integrity, and reproducibility across all quantitative studies Tooling Integration & Platform Enablement Liaise with external research and technology partners to manage data pipelines and integrations Act as the primary technical contact for third-party panel providers (e.g., PureSpectrum, Cint, Dynata) and oversee the end-to-end fieldwork lifecycle Troubleshoot technical issues across data collection, processing, and reporting workflows Contribute to the development of scalable research infrastructure Synthesise disparate data points into a cohesive narrative, including compelling data visualisations and actionable insights, and recommendations Designing clear results presentations (often in Canva) that lead the audience from the initial research question to a clear, data-backed conclusion. Act as a trusted analytical voice in client conversations, shaping the narrative from data to insight and guiding stakeholders toward clear, actionable decisions Partner with Strategy and Client teams to ensure analytical outputs land with impact, influencing both the direction of the work and client decision-making Drive the implementation of AI and automation tools across analysis and reporting workflows Support the development of technology-enabled research products in partnership with Product teams Prototype and test AI-driven approaches to modelling, insight generation, and reporting Balance innovation with methodological rigor to ensure accuracy and trust Desired Skills & Experience Advanced Analytics Expertise: 5-7+ years' experience in quantitative research, analytics, or data science within a research or consultancy environment. Statistical Modelling: Strong proficiency in R or equivalent statistical tools, with experience building predictive and applied models. Survey Programming: Demonstrated expertise in survey logic design, platform deployment, and data validation processes. Data Infrastructure Awareness: Understanding of third-party research platforms, APIs, and data integration workflows. Automation Fluency: Practical experience implementing automation or AI tools to improve efficiency and scalability. Technical Translation: Ability to explain complex analytical processes clearly to research and non-technical stakeholders. Process Orientation: Strong systems thinking with experience building repeatable, scalable analytical workflows. Project & Client Management: Demonstrated ability to manage concurrent projects while maintaining quality, timelines, and confident client communication. Employment Full time. What do you get in return? Inspiration, knowledge, career development, on top of our financial package. You'll also be working with an international bunch of remarkable musically-infused individuals. On this note, please know that Songtradr is an equal opportunities employer. Applicants will not be excluded on the grounds of sex, gender reassignment, pregnancy, maternity, race, marital status, diversity of thought, disability, age, religion, belief, or sexual orientation.
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. What You'll Do As a Senior Analyst - BCG Vantage on our Topic Activation path within BCG's Technology, Media, and Telecommunications (TMT) practice area you will work in a growing global team, providing insights to our Hardware clients, while working together with our case teams and proposal teams to bring in data driven insights, knowledge assets and expert advisory. You'll serve as a thought partner and content expert to case teams and topic/sector leaders, helping structure and solve complex issues. You will support commercialization efforts for the sector, working closely with business leaders, through contributing analysis and insights to proposals, client workshops and marketing materials. Additionally, as a Senior Analyst - BCG Vantage, you will contribute to developing intellectual property & assets for the business and assist in onboarding and training junior colleagues based on your topic/sector expertise. YOU'RE GOOD AT Working on client projects as part of case team and proposal teams, solving complex client problems through relevant analytical approaches and customized solutions for our clients in the Datacenter/Hardware industry. Bringing valuable industry experiences and insights in your specialized areas of expertise, for example, such as Data Center, Hardware devices, Supply Chain, R&D assessment, go to market excellence, pricing, operations and other relevant topics in the sector Communicating with clients, senior stakeholders and case teams, demonstrating the ability to engage your audience effectively while demonstrating the ability to translate technical insights and complex context into actionable business strategies Driving the productization and automation of strategic offerings and knowledge assets, building and maintaining proprietary databases and tools empowered by AI, accelerating the deliverables and answering critical questions in unique client context. Ability to use GenAI tools is a must Working collaboratively and effectively in a group dynamic often virtual, proficient in agile ways of working Being flexible and bringing a curious and creative mindset, open to new things and able to propose innovative ideas Navigating complexity and ambiguity What You'll Bring 2+ years of consulting experience in relevant Datacenter/Hardware industry required; candidates with consulting experience strongly preferred In lieu of consulting experience, 3+ years minimum consulting experience required; 4-6+ years of industry experience in strategy strongly preferred Bachelor's Degree required (advanced degree preferred). Major in Electronics/Electrical/Computer Science Engineering preferred Strong data analytics skills and proficient with Tableau, Alteryx, SQL or Python Strong business acumen and problem solving capabilities Strong written and verbal communication skills Fluency in English Outstanding interpersonal and communication skills to interact with internal and external stakeholder while working in a global collaborative team environment Advanced data analytics skills and proficient with Tableau, Alteryx, SQL or Python Who You'll Work With As a Senior Analyst - BCG Vantage on our Topic Activation path, you will collaborate with global topic leads and colleagues across BCG to bring expertise and capabilities to the service of our internal and external clients. Our team is made up of a diverse pool of BCG Vantage positions that allow us to pursue exciting, innovative BCG Vantage careers. Additional Info BCG Vantage is a powerhouse of expertise, seamlessly embedded within Practice Areas and markets to drive extraordinary impact. It equips BCG case teams and clients with cutting edge expertise, proprietary assets, actionable data, and transformative insights that empower our case teams and enable our clients to achieve their aspirations. With global experts across 20 Practices, covering more than 100 topics, sectors and offers, plus four focused geographic markets, BCG Vantage delivers unparalleled depth and breadth of insight & expertise. BCG Vantage consists of three career paths, each playing a crucial role in delivering value to clients, case teams and practice teams. Client Focus (Embedded Expertise) Integrates into client facing teams to deliver direct client impact through expertise, know how, and proprietary tools and assets Topic Activation (Sector Expertise with Proprietary Tool & Data Solutions) Combines deep domain insights with our know how and proprietary assets to address targeted challenges directly with clients and project teams; co creates insights on industry trends and functional topics, proprietary data and tools, and teams to codify IP that all enables BCG to deliver excellent business value with its clients Research (Practice Topic and Sector-Aligned Research and Insights) Delivers actionable research and insights tailored to the client project's needs; works with qualitative and quantitative data, conducts research and provides synthesized results from sources including commercial data, public and open source, company and industry research, macro economic, commodities and trade data Equal Opportunity Employer Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E Verify Employer. Click here for more information on E-Verify.
06/06/2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. What You'll Do As a Senior Analyst - BCG Vantage on our Topic Activation path within BCG's Technology, Media, and Telecommunications (TMT) practice area you will work in a growing global team, providing insights to our Hardware clients, while working together with our case teams and proposal teams to bring in data driven insights, knowledge assets and expert advisory. You'll serve as a thought partner and content expert to case teams and topic/sector leaders, helping structure and solve complex issues. You will support commercialization efforts for the sector, working closely with business leaders, through contributing analysis and insights to proposals, client workshops and marketing materials. Additionally, as a Senior Analyst - BCG Vantage, you will contribute to developing intellectual property & assets for the business and assist in onboarding and training junior colleagues based on your topic/sector expertise. YOU'RE GOOD AT Working on client projects as part of case team and proposal teams, solving complex client problems through relevant analytical approaches and customized solutions for our clients in the Datacenter/Hardware industry. Bringing valuable industry experiences and insights in your specialized areas of expertise, for example, such as Data Center, Hardware devices, Supply Chain, R&D assessment, go to market excellence, pricing, operations and other relevant topics in the sector Communicating with clients, senior stakeholders and case teams, demonstrating the ability to engage your audience effectively while demonstrating the ability to translate technical insights and complex context into actionable business strategies Driving the productization and automation of strategic offerings and knowledge assets, building and maintaining proprietary databases and tools empowered by AI, accelerating the deliverables and answering critical questions in unique client context. Ability to use GenAI tools is a must Working collaboratively and effectively in a group dynamic often virtual, proficient in agile ways of working Being flexible and bringing a curious and creative mindset, open to new things and able to propose innovative ideas Navigating complexity and ambiguity What You'll Bring 2+ years of consulting experience in relevant Datacenter/Hardware industry required; candidates with consulting experience strongly preferred In lieu of consulting experience, 3+ years minimum consulting experience required; 4-6+ years of industry experience in strategy strongly preferred Bachelor's Degree required (advanced degree preferred). Major in Electronics/Electrical/Computer Science Engineering preferred Strong data analytics skills and proficient with Tableau, Alteryx, SQL or Python Strong business acumen and problem solving capabilities Strong written and verbal communication skills Fluency in English Outstanding interpersonal and communication skills to interact with internal and external stakeholder while working in a global collaborative team environment Advanced data analytics skills and proficient with Tableau, Alteryx, SQL or Python Who You'll Work With As a Senior Analyst - BCG Vantage on our Topic Activation path, you will collaborate with global topic leads and colleagues across BCG to bring expertise and capabilities to the service of our internal and external clients. Our team is made up of a diverse pool of BCG Vantage positions that allow us to pursue exciting, innovative BCG Vantage careers. Additional Info BCG Vantage is a powerhouse of expertise, seamlessly embedded within Practice Areas and markets to drive extraordinary impact. It equips BCG case teams and clients with cutting edge expertise, proprietary assets, actionable data, and transformative insights that empower our case teams and enable our clients to achieve their aspirations. With global experts across 20 Practices, covering more than 100 topics, sectors and offers, plus four focused geographic markets, BCG Vantage delivers unparalleled depth and breadth of insight & expertise. BCG Vantage consists of three career paths, each playing a crucial role in delivering value to clients, case teams and practice teams. Client Focus (Embedded Expertise) Integrates into client facing teams to deliver direct client impact through expertise, know how, and proprietary tools and assets Topic Activation (Sector Expertise with Proprietary Tool & Data Solutions) Combines deep domain insights with our know how and proprietary assets to address targeted challenges directly with clients and project teams; co creates insights on industry trends and functional topics, proprietary data and tools, and teams to codify IP that all enables BCG to deliver excellent business value with its clients Research (Practice Topic and Sector-Aligned Research and Insights) Delivers actionable research and insights tailored to the client project's needs; works with qualitative and quantitative data, conducts research and provides synthesized results from sources including commercial data, public and open source, company and industry research, macro economic, commodities and trade data Equal Opportunity Employer Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E Verify Employer. Click here for more information on E-Verify.
Ernst & Young Advisory Services Sdn Bhd
City, Belfast
Location: Belfast Other locations: Primary Location Only Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Engineer Senior Consultant - Job Specification Location: Belfast or Derry/Londonderry Position Overview We are seeking a highly skilled Data Engineer Senior Consultant with hands-on experience designing, building, and optimizing data solutions that enable advanced analytics and AI-driven business transformation. This role requires expertise in modern data engineering practices, cloud platforms, and the ability to deliver robust, scalable data pipelines for diverse business domains such as finance, supply chain, energy, and commercial operations. Your Client Impact Design, develop, and deploy end-to-end data pipelines for complex business problems, supporting analytics, modernising data infrastructure and AI/ML initiatives. Design and implement data models, ETL/ELT workflows, and data integration solutions across structured and unstructured sources Collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions that unlock business value. Ensure data quality, integrity, and governance throughout the data lifecycle. Optimize data storage, retrieval, and processing for performance and scalability on cloud platforms (Azure, AWS, GCP, Databricks, Snowflake). Translate business requirements into technical data engineering solutions, including architecture decisions and technology selection. Contribute to proposals, technical assessments, and internal knowledge sharing. Data preparation, feature engineering, and MLOps activities to collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions Essential Qualifications Degree or equivalent certification in Computer Science, Data Engineering, Information Systems, Mathematics, or related quantitative field. Experience building and maintaining data pipelines using platforms such as Databricks, Azure Data Factory, Snowflake, or similar Good programming skills in Python and SQL, with familiarity with data engineering libraries (e.g., pandas, PySpark, dbt) Solid understanding of data modelling, ETL/ELT processes, and Lakehouse concepts Experience with data quality frameworks, data governance, and compliance requirements. Familiarity with version control (Git), CI/CD pipelines, and workflow orchestration tools (Airflow, Prefect). Soft Skills Strong analytical and problem-solving mindset with attention to detail. Good team player with effective communication and storytelling with data and insights. Consulting skills, including development of presentation decks and client-facing documentation. Preferred Criteria Experience with real-time data processing (Kafka, Kinesis, Azure Event Hub). Knowledge of big data storage solutions (Delta Lake, Parquet, Avro). Experience with data visualization tools (Power BI, Tableau, Looker). Understanding of AI/ML concepts and collaboration with AI teams. Preferred Qualifications Certifications such as: AWS Certified Data Analytics - Specialty SnowPro Advanced: Data Engineer EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
06/06/2026
Full time
Location: Belfast Other locations: Primary Location Only Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Engineer Senior Consultant - Job Specification Location: Belfast or Derry/Londonderry Position Overview We are seeking a highly skilled Data Engineer Senior Consultant with hands-on experience designing, building, and optimizing data solutions that enable advanced analytics and AI-driven business transformation. This role requires expertise in modern data engineering practices, cloud platforms, and the ability to deliver robust, scalable data pipelines for diverse business domains such as finance, supply chain, energy, and commercial operations. Your Client Impact Design, develop, and deploy end-to-end data pipelines for complex business problems, supporting analytics, modernising data infrastructure and AI/ML initiatives. Design and implement data models, ETL/ELT workflows, and data integration solutions across structured and unstructured sources Collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions that unlock business value. Ensure data quality, integrity, and governance throughout the data lifecycle. Optimize data storage, retrieval, and processing for performance and scalability on cloud platforms (Azure, AWS, GCP, Databricks, Snowflake). Translate business requirements into technical data engineering solutions, including architecture decisions and technology selection. Contribute to proposals, technical assessments, and internal knowledge sharing. Data preparation, feature engineering, and MLOps activities to collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions Essential Qualifications Degree or equivalent certification in Computer Science, Data Engineering, Information Systems, Mathematics, or related quantitative field. Experience building and maintaining data pipelines using platforms such as Databricks, Azure Data Factory, Snowflake, or similar Good programming skills in Python and SQL, with familiarity with data engineering libraries (e.g., pandas, PySpark, dbt) Solid understanding of data modelling, ETL/ELT processes, and Lakehouse concepts Experience with data quality frameworks, data governance, and compliance requirements. Familiarity with version control (Git), CI/CD pipelines, and workflow orchestration tools (Airflow, Prefect). Soft Skills Strong analytical and problem-solving mindset with attention to detail. Good team player with effective communication and storytelling with data and insights. Consulting skills, including development of presentation decks and client-facing documentation. Preferred Criteria Experience with real-time data processing (Kafka, Kinesis, Azure Event Hub). Knowledge of big data storage solutions (Delta Lake, Parquet, Avro). Experience with data visualization tools (Power BI, Tableau, Looker). Understanding of AI/ML concepts and collaboration with AI teams. Preferred Qualifications Certifications such as: AWS Certified Data Analytics - Specialty SnowPro Advanced: Data Engineer EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
We are seeking an experienced and adaptable machine learning (ML) and artificial intelligence (AI) engineering professional to join a nimble and best in class data team at The Beatport Group. The role will report to the Director of Intelligence Engineering and will share in the ownership and delivery of cutting edge, scalable ML/AI models. Initial Workstreams Recommendations and personalization Search optimization Audio modeling As a Senior ML & AI Engineer, you will be responsible for: Developing and implementing ML and AI based solutions to enhance and optimize the Beatport customer experience, including semantic search, content recommendation/personalization engines, and audio models for music professionals. Acting as a subject matter expert regarding GCP's latest ML/AI tooling and continuously prototyping and advocating for new tooling. Owning the development cycle of our ML and AI pipelines, ensuring low latency, cost effectiveness, robust CI/CD, and continuous iterative testing. Collaborating with Platform Engineering and Product to prioritize relevant workstreams across the Beatport Group. Working with data scientists, data engineers, and data analysts to refine and develop scalable data architectures to deliver unified and actionable ML/AI intelligence across the data stack. Requirements 4-5 years of direct experience as an ML/AI focused engineer, with 1+ year in a senior capacity preferred. Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Expert proficiency in GCP's ML/AI tooling, its data ecosystem, and Python with core ML/AI libraries (PyTorch, XGBoost, TensorFlow). Expert proficiency with SQL development, with Google dialects being advantageous. Proficiency with an API web framework (FastAPI, Django, Flask). Robust CI/CD discipline for ML, including GitHub Actions or GitLab CI, and infrastructure as code solutions such as Terraform. Desired Experience Experience in a data science or adjacent environment. Familiarity with experimentation and A/B testing frameworks. Experience with vector databases or similar technologies for semantic search and retrieval pipelines. Experience with dbt. Domain knowledge in digital signal processing and/or audio fingerprinting within the music industry. General music industry experience or interest in DJ culture. Location Hybrid (London) or remote (UK) - must have right to work in the UK. Benefits Participation in company's annual bonus pool program Professional environment with room for creativity and fun VIP access to local music events & livestreams Enhanced holiday allowance Focus days BUPA Health Insurance Learning days Employer matched pension + More Equal Employment Opportunity The Beatport Group strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law.
06/06/2026
Full time
We are seeking an experienced and adaptable machine learning (ML) and artificial intelligence (AI) engineering professional to join a nimble and best in class data team at The Beatport Group. The role will report to the Director of Intelligence Engineering and will share in the ownership and delivery of cutting edge, scalable ML/AI models. Initial Workstreams Recommendations and personalization Search optimization Audio modeling As a Senior ML & AI Engineer, you will be responsible for: Developing and implementing ML and AI based solutions to enhance and optimize the Beatport customer experience, including semantic search, content recommendation/personalization engines, and audio models for music professionals. Acting as a subject matter expert regarding GCP's latest ML/AI tooling and continuously prototyping and advocating for new tooling. Owning the development cycle of our ML and AI pipelines, ensuring low latency, cost effectiveness, robust CI/CD, and continuous iterative testing. Collaborating with Platform Engineering and Product to prioritize relevant workstreams across the Beatport Group. Working with data scientists, data engineers, and data analysts to refine and develop scalable data architectures to deliver unified and actionable ML/AI intelligence across the data stack. Requirements 4-5 years of direct experience as an ML/AI focused engineer, with 1+ year in a senior capacity preferred. Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Expert proficiency in GCP's ML/AI tooling, its data ecosystem, and Python with core ML/AI libraries (PyTorch, XGBoost, TensorFlow). Expert proficiency with SQL development, with Google dialects being advantageous. Proficiency with an API web framework (FastAPI, Django, Flask). Robust CI/CD discipline for ML, including GitHub Actions or GitLab CI, and infrastructure as code solutions such as Terraform. Desired Experience Experience in a data science or adjacent environment. Familiarity with experimentation and A/B testing frameworks. Experience with vector databases or similar technologies for semantic search and retrieval pipelines. Experience with dbt. Domain knowledge in digital signal processing and/or audio fingerprinting within the music industry. General music industry experience or interest in DJ culture. Location Hybrid (London) or remote (UK) - must have right to work in the UK. Benefits Participation in company's annual bonus pool program Professional environment with room for creativity and fun VIP access to local music events & livestreams Enhanced holiday allowance Focus days BUPA Health Insurance Learning days Employer matched pension + More Equal Employment Opportunity The Beatport Group strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by state or federal law.
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. What we need: At Multiverse, the models we build don't just sit in notebooks - they drive the decisions that shape our business every day. From predicting learner outcomes to forecasting operational demand and optimising how we allocate resources, this work sits at the very core of how we run the company. As a Senior Data Scientist, you'll own these models end to end. You'll develop a deep understanding of how Multiverse operates across our customer, learner and operational domains - and translate that understanding into rigorous, production-grade ML models that genuinely move the needle. To be successful, you'll be comfortable getting hands on with pipelines and infrastructure - and unafraid of the statistical rigour that serious modelling demands. You'll work closely with stakeholders across every part of the business - helping them ask better questions, understand the answers, and act on them with confidence. Our leaders will make multi-million dollar decisions based on your recommendations, and our AI-powered product will decide how to support learners based on your models. You'll sit within our Data & Insight team, working day-to-day alongside Data Engineers, Data Product Developers and Insight Analysts. What you'll focus on: Business Understanding & Problem Definition Building genuine expertise in how Multiverse operates across customer, learner and operational domains - becoming a trusted thought partner Translating complex and often ambiguous business questions into well-scoped modelling problems with clear success criteria Identifying where predictive, forecasting or optimisation models can have the greatest business impact, and prioritising accordingly Modelling & Statistical Analysis Designing, developing and iterating supervised and unsupervised ML models that predict, forecast and optimise across the business Applying rigorous statistical methods to ensure models are robust, unbiased and genuinely causal wherever causal claims are being made Developing a deep understanding of our data landscape - its lineage, quirks, and limitations - and designing approaches that account for them Monitoring and refining models over time, ensuring they remain accurate and relevant as the business evolves Data Engineering & Infrastructure Collaborating closely with Data Engineers to build and maintain the data pipelines and ML infrastructure needed to develop and deploy your models Productionising models to run reliably at scale, adhering to software engineering best practices - including version control, CI/CD and vulnerability management Evaluating and implementing scalable approaches to data collection and processing, ensuring robust practices are in place What we're looking for: Required 5+ years of data science/machine learning experience, with a proven track record building and deploying models that drive real business decisions Deep expertise in predictive modelling, forecasting and/or optimisation - with strong command of the underlying statistical principles Strong proficiency in Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, xgboost, shap) Advanced working knowledge of SQL Hands on experience with data pipelines and ML infrastructure Experience working within AWS (ideally using Sagemaker) and/or Azure Comfort working across our data stack - inc Airflow, Snowflake Experience with version control and CI/CD practices (ideally using GitHub) Rigorous attention to statistical validity - comfortable challenging assumptions and defending methodology Understanding of best practices in data protection and information security Desirable Experience with causal inference methods (e.g., diff-in-diff, instrumental variables, propensity score matching) Experience with dbt for data transformation Knowledge of infrastructure as code tools (e.g. Terraform) Strong professional and/or academic background within a highly quantitative discipline (e.g. statistics, mathematics, physics or economics) Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
06/06/2026
Full time
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. What we need: At Multiverse, the models we build don't just sit in notebooks - they drive the decisions that shape our business every day. From predicting learner outcomes to forecasting operational demand and optimising how we allocate resources, this work sits at the very core of how we run the company. As a Senior Data Scientist, you'll own these models end to end. You'll develop a deep understanding of how Multiverse operates across our customer, learner and operational domains - and translate that understanding into rigorous, production-grade ML models that genuinely move the needle. To be successful, you'll be comfortable getting hands on with pipelines and infrastructure - and unafraid of the statistical rigour that serious modelling demands. You'll work closely with stakeholders across every part of the business - helping them ask better questions, understand the answers, and act on them with confidence. Our leaders will make multi-million dollar decisions based on your recommendations, and our AI-powered product will decide how to support learners based on your models. You'll sit within our Data & Insight team, working day-to-day alongside Data Engineers, Data Product Developers and Insight Analysts. What you'll focus on: Business Understanding & Problem Definition Building genuine expertise in how Multiverse operates across customer, learner and operational domains - becoming a trusted thought partner Translating complex and often ambiguous business questions into well-scoped modelling problems with clear success criteria Identifying where predictive, forecasting or optimisation models can have the greatest business impact, and prioritising accordingly Modelling & Statistical Analysis Designing, developing and iterating supervised and unsupervised ML models that predict, forecast and optimise across the business Applying rigorous statistical methods to ensure models are robust, unbiased and genuinely causal wherever causal claims are being made Developing a deep understanding of our data landscape - its lineage, quirks, and limitations - and designing approaches that account for them Monitoring and refining models over time, ensuring they remain accurate and relevant as the business evolves Data Engineering & Infrastructure Collaborating closely with Data Engineers to build and maintain the data pipelines and ML infrastructure needed to develop and deploy your models Productionising models to run reliably at scale, adhering to software engineering best practices - including version control, CI/CD and vulnerability management Evaluating and implementing scalable approaches to data collection and processing, ensuring robust practices are in place What we're looking for: Required 5+ years of data science/machine learning experience, with a proven track record building and deploying models that drive real business decisions Deep expertise in predictive modelling, forecasting and/or optimisation - with strong command of the underlying statistical principles Strong proficiency in Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, xgboost, shap) Advanced working knowledge of SQL Hands on experience with data pipelines and ML infrastructure Experience working within AWS (ideally using Sagemaker) and/or Azure Comfort working across our data stack - inc Airflow, Snowflake Experience with version control and CI/CD practices (ideally using GitHub) Rigorous attention to statistical validity - comfortable challenging assumptions and defending methodology Understanding of best practices in data protection and information security Desirable Experience with causal inference methods (e.g., diff-in-diff, instrumental variables, propensity score matching) Experience with dbt for data transformation Knowledge of infrastructure as code tools (e.g. Terraform) Strong professional and/or academic background within a highly quantitative discipline (e.g. statistics, mathematics, physics or economics) Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Ernst & Young Advisory Services Sdn Bhd
Manchester, Lancashire
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Location : Manchester Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud based AI platforms. Develop, and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domains Build and fine-tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue Translate business requirements into technical AI/ML features, model selection, architecture decisions Conduct exploratory data analysis and communicate insights Collaborate with data engineers, architects, and business analysts on integrated solutions Build feature engineering pipelines and automated data preparation workflows Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms Contribute to proposals and technical assessments for new opportunities and internal knowledge transfer Essential Qualifications Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field Proven experience building and implementing LLM-based solutions (GPT, Claude, Llama, Mistral, or similar) Hands on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (scikit learn, pandas, NumPy, XGBoost, LightGBM) Strong analytical and problem solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements Story telling with data and insights from the outputs Consulting skills, supporting development of presentation decks and communication Preferred Criteria Experience or knowledge covering at least one of the following areas: Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal inference Experience with AI governance, model risk management, and regulatory compliance Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimisation, logistics planning, procurement analytics Commercial Transformation: Price optimisation, customer lifetime value, churn prediction, marketing mix modelling Preferred Qualifications Certifications such as: Databricks Certified Machine Learning Professional Azure AI Engineer Associate or Data Scientist Associate SnowPro Advanced: Data Scientist AWS Certified Machine Learning - Specialty EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
06/06/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Location : Manchester Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud based AI platforms. Develop, and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domains Build and fine-tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue Translate business requirements into technical AI/ML features, model selection, architecture decisions Conduct exploratory data analysis and communicate insights Collaborate with data engineers, architects, and business analysts on integrated solutions Build feature engineering pipelines and automated data preparation workflows Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms Contribute to proposals and technical assessments for new opportunities and internal knowledge transfer Essential Qualifications Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field Proven experience building and implementing LLM-based solutions (GPT, Claude, Llama, Mistral, or similar) Hands on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (scikit learn, pandas, NumPy, XGBoost, LightGBM) Strong analytical and problem solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements Story telling with data and insights from the outputs Consulting skills, supporting development of presentation decks and communication Preferred Criteria Experience or knowledge covering at least one of the following areas: Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal inference Experience with AI governance, model risk management, and regulatory compliance Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimisation, logistics planning, procurement analytics Commercial Transformation: Price optimisation, customer lifetime value, churn prediction, marketing mix modelling Preferred Qualifications Certifications such as: Databricks Certified Machine Learning Professional Azure AI Engineer Associate or Data Scientist Associate SnowPro Advanced: Data Scientist AWS Certified Machine Learning - Specialty EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Wealth Management - CIO Equities, Associate J.P. Morgan Chase & Co. is a leading global financial services firm with assets of more than $2 trillion, over 265,000 employees and operations in over 60 countries. It operates across six business segments including Investment Banking, Commercial Banking, Treasury & Securities Services, Asset & Wealth Management, Retail Financial Services and Card Services. The Global Wealth Management business offers individuals and families personalized, comprehensive financial solutions that integrate sophisticated investment management, capital markets, trust and banking capabilities. JPMorgan Private Bank was recognized in 2015 by Euromoney as the world's best global private bank, with more than 1,800 client advisors in 120 offices in 11 countries. Role Summary As an Equity Quantitative Investment Analyst / VP, you will join a growing and innovative Equity Portfolio Management team within Wealth Management's Chief Investment Officer Team (Private Bank CIO Team), reporting to the Head of Quantitative Investments in the CIO Equities team. In this role, you will be part of a group that combines traditional fundamental equity analysis with rigorous quantitative and factor based approaches to drive investment decisions. You will collaborate closely with fundamental analysts and portfolio managers, monitor the trade process, and contribute quantitative investment and portfolio construction ideas for implementation within discretionary equity and multi asset client portfolios across global markets. Responsibilities Risk Modeling: Support the application of risk models (Axioma or other risk models) to evaluate portfolio exposures and assist in risk management and investment decision making across global equity markets. Portfolio Construction: Assist portfolio managers in applying quantitative models and analytics to improve portfolio construction, evaluate risk exposures, and conduct performance attribution for global equity portfolios. Quantitative Research: Help build and maintain financial models using programming skills (Python, R, or similar), and work with large and complex datasets to uncover new market insights and trends. Contribute to the application of AI and machine learning techniques to enhance investment research and portfolio management. Collaboration and Communication: Collaborate with fundamental team members and senior quants to integrate quantitative insights into investment strategies. Clearly and effectively communicate quantitative concepts, findings, and actionable insights to portfolio managers and other investment professionals. Compliance: Maintain a consistent focus on compliance and risk management. Key Skills and Experience Required 3-5 years' experience in quantitative analysis, preferably on the buy side or in investment management. Understanding of equity markets, financial theory, and risk models. Experience applying or supporting risk models and portfolio construction; familiarity with Axioma or other risk models is a plus. Proficient programming skills in Python, including experience with data analysis libraries (e.g., Pandas, NumPy) and working with APIs. Familiarity with statistical analysis, econometrics, machine learning, and/or AI techniques. Bachelor's or Master's degree in a quantitative field (Finance, Mathematics, Engineering, Computer Science, etc.). Progress toward CFA designation is a plus. Key Attributes Strong analytical mindset with intellectual curiosity, problem solving, and critical thinking skills, as well as excellent attention to detail. Excellent communication skills (listening, verbal, and written), with the ability to explain quantitative concepts to non quant colleagues. Clear passion for financial markets and investing. High-level interpersonal and teamwork skills. Effective multi tasking and prioritization capabilities. Ability to operate productively in a collaborative, fast paced, team oriented environment. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
06/06/2026
Full time
Wealth Management - CIO Equities, Associate J.P. Morgan Chase & Co. is a leading global financial services firm with assets of more than $2 trillion, over 265,000 employees and operations in over 60 countries. It operates across six business segments including Investment Banking, Commercial Banking, Treasury & Securities Services, Asset & Wealth Management, Retail Financial Services and Card Services. The Global Wealth Management business offers individuals and families personalized, comprehensive financial solutions that integrate sophisticated investment management, capital markets, trust and banking capabilities. JPMorgan Private Bank was recognized in 2015 by Euromoney as the world's best global private bank, with more than 1,800 client advisors in 120 offices in 11 countries. Role Summary As an Equity Quantitative Investment Analyst / VP, you will join a growing and innovative Equity Portfolio Management team within Wealth Management's Chief Investment Officer Team (Private Bank CIO Team), reporting to the Head of Quantitative Investments in the CIO Equities team. In this role, you will be part of a group that combines traditional fundamental equity analysis with rigorous quantitative and factor based approaches to drive investment decisions. You will collaborate closely with fundamental analysts and portfolio managers, monitor the trade process, and contribute quantitative investment and portfolio construction ideas for implementation within discretionary equity and multi asset client portfolios across global markets. Responsibilities Risk Modeling: Support the application of risk models (Axioma or other risk models) to evaluate portfolio exposures and assist in risk management and investment decision making across global equity markets. Portfolio Construction: Assist portfolio managers in applying quantitative models and analytics to improve portfolio construction, evaluate risk exposures, and conduct performance attribution for global equity portfolios. Quantitative Research: Help build and maintain financial models using programming skills (Python, R, or similar), and work with large and complex datasets to uncover new market insights and trends. Contribute to the application of AI and machine learning techniques to enhance investment research and portfolio management. Collaboration and Communication: Collaborate with fundamental team members and senior quants to integrate quantitative insights into investment strategies. Clearly and effectively communicate quantitative concepts, findings, and actionable insights to portfolio managers and other investment professionals. Compliance: Maintain a consistent focus on compliance and risk management. Key Skills and Experience Required 3-5 years' experience in quantitative analysis, preferably on the buy side or in investment management. Understanding of equity markets, financial theory, and risk models. Experience applying or supporting risk models and portfolio construction; familiarity with Axioma or other risk models is a plus. Proficient programming skills in Python, including experience with data analysis libraries (e.g., Pandas, NumPy) and working with APIs. Familiarity with statistical analysis, econometrics, machine learning, and/or AI techniques. Bachelor's or Master's degree in a quantitative field (Finance, Mathematics, Engineering, Computer Science, etc.). Progress toward CFA designation is a plus. Key Attributes Strong analytical mindset with intellectual curiosity, problem solving, and critical thinking skills, as well as excellent attention to detail. Excellent communication skills (listening, verbal, and written), with the ability to explain quantitative concepts to non quant colleagues. Clear passion for financial markets and investing. High-level interpersonal and teamwork skills. Effective multi tasking and prioritization capabilities. Ability to operate productively in a collaborative, fast paced, team oriented environment. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Role: Operational Analyst Location: Hybrid UK-based working with travel to MOD, defence industry, and secure customer sites as required Duration: Initial 3-month contract with extension options available Clearance: SC clearance required Rate: £500-£750/day Key skills Operational Analysis, Operational Research, Defence Capability Assessment, Modelling & Simulation, Data Analytics, AI-enabled Defence Systems You ve worked in defence, national security, or complex government environments where decisions cannot be based on guesswork. You know how to take large amounts of operational, technical, or programme data and turn it into evidence that actually helps people make better decisions. Whether that s assessing military capability, analysing operational effectiveness, modelling future scenarios, or supporting investment decisions, you understand how valuable good analysis can be in high-stakes environments. You re probably also someone who enjoys solving difficult problems. The kind of person who likes understanding how systems, people, technology, and operational requirements all fit together. If that sounds like you, this role is well worth a look. I m working with a cyber security technology company that is looking for an Operational Analyst to support major capability development, experimentation, and operational research programmes across the MOD R&D landscape. This is the kind of role where your work will directly contribute towards future defence capability, operational advantage, and strategic decision-making. You ll be involved in analysing emerging technologies, assessing military utility, supporting experimentation activities, and helping shape future operating concepts across complex defence programmes. There s also a major focus around modern digital capability and AI-enabled defence systems. You ll be working in an environment exploring technologies such as artificial intelligence, autonomous systems, data fabric, data-centred security, and modern command-and-control platforms. They re looking for someone who understands how analytical methods and operational research can support the adoption of these technologies in real-world defence settings. This role will see you conducting both quantitative and qualitative operational analysis, building analytical models, carrying out scenario assessments, analysing operational risks and dependencies, and developing evidence-based recommendations for senior stakeholders. You ll also support experimentation programmes, capability assessments, and investment decision-making activities, helping ensure that future defence capabilities are backed by robust operational evidence. A big part of the role involves engaging with stakeholders across MOD delivery teams, front-line commands, defence science organisations, industry partners, and senior military personnel, so being able to communicate complex findings clearly is very important here. From a technical perspective, they re looking for someone with experience across areas such as: Operational Analysis and Operational Research Defence capability assessment and capability planning Modelling and simulation Statistical analysis and data analytics Risk and cost-effectiveness analysis Scenario modelling and experimentation Defence capability development and acquisition programmes Experience with tools such as Python, R, MATLAB, Power BI, Tableau, Simul8, AnyLogic, Arena, or similar analytical platforms would be very beneficial. Experience working within MOD, NATO, defence industry, or secure government environments is highly desirable, particularly if you ve supported defence experimentation, capability development, or operational research activities previously. They re looking for someone who can work comfortably in complex R&D environments, engage confidently with senior stakeholders, and bring analytical rigour to programmes where the quality of evidence genuinely matters. If you enjoy operational research, defence analysis, emerging technology, and work that has real strategic importance, this is a genuinely interesting opportunity to get involved in. If it sounds like the kind of challenge you d enjoy, apply now or get in touch to find out more. We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.
05/06/2026
Contractor
Role: Operational Analyst Location: Hybrid UK-based working with travel to MOD, defence industry, and secure customer sites as required Duration: Initial 3-month contract with extension options available Clearance: SC clearance required Rate: £500-£750/day Key skills Operational Analysis, Operational Research, Defence Capability Assessment, Modelling & Simulation, Data Analytics, AI-enabled Defence Systems You ve worked in defence, national security, or complex government environments where decisions cannot be based on guesswork. You know how to take large amounts of operational, technical, or programme data and turn it into evidence that actually helps people make better decisions. Whether that s assessing military capability, analysing operational effectiveness, modelling future scenarios, or supporting investment decisions, you understand how valuable good analysis can be in high-stakes environments. You re probably also someone who enjoys solving difficult problems. The kind of person who likes understanding how systems, people, technology, and operational requirements all fit together. If that sounds like you, this role is well worth a look. I m working with a cyber security technology company that is looking for an Operational Analyst to support major capability development, experimentation, and operational research programmes across the MOD R&D landscape. This is the kind of role where your work will directly contribute towards future defence capability, operational advantage, and strategic decision-making. You ll be involved in analysing emerging technologies, assessing military utility, supporting experimentation activities, and helping shape future operating concepts across complex defence programmes. There s also a major focus around modern digital capability and AI-enabled defence systems. You ll be working in an environment exploring technologies such as artificial intelligence, autonomous systems, data fabric, data-centred security, and modern command-and-control platforms. They re looking for someone who understands how analytical methods and operational research can support the adoption of these technologies in real-world defence settings. This role will see you conducting both quantitative and qualitative operational analysis, building analytical models, carrying out scenario assessments, analysing operational risks and dependencies, and developing evidence-based recommendations for senior stakeholders. You ll also support experimentation programmes, capability assessments, and investment decision-making activities, helping ensure that future defence capabilities are backed by robust operational evidence. A big part of the role involves engaging with stakeholders across MOD delivery teams, front-line commands, defence science organisations, industry partners, and senior military personnel, so being able to communicate complex findings clearly is very important here. From a technical perspective, they re looking for someone with experience across areas such as: Operational Analysis and Operational Research Defence capability assessment and capability planning Modelling and simulation Statistical analysis and data analytics Risk and cost-effectiveness analysis Scenario modelling and experimentation Defence capability development and acquisition programmes Experience with tools such as Python, R, MATLAB, Power BI, Tableau, Simul8, AnyLogic, Arena, or similar analytical platforms would be very beneficial. Experience working within MOD, NATO, defence industry, or secure government environments is highly desirable, particularly if you ve supported defence experimentation, capability development, or operational research activities previously. They re looking for someone who can work comfortably in complex R&D environments, engage confidently with senior stakeholders, and bring analytical rigour to programmes where the quality of evidence genuinely matters. If you enjoy operational research, defence analysis, emerging technology, and work that has real strategic importance, this is a genuinely interesting opportunity to get involved in. If it sounds like the kind of challenge you d enjoy, apply now or get in touch to find out more. We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.
Data Analyst - Strategic Comms Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4.5 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team As the Research Analyst for the Strategic Communications team, you will build iwoca's evidence base for public policy arguments. You'll become the expert on what iwoca's data can tell us about our impact - on customer outcomes, business survival, pricing, and the wider economy - and translate that into compelling materials for policymakers, journalists, and senior stakeholders. You'll work alongside our comms team and report to the Director of Strategic Communications, with regular interaction with iwoca's executive team. The role sits at the intersection of data, policy, and communications and collaborates with Risk, Product, Operations, Finance, and Investor Relations to extract insights and translate them into materials that shape how iwoca is understood externally. There's a clear career trajectory here. With time, you could build a new research function, or you might discover that you love the communications and become a data-driven PR professional. Either way, you'll have the opportunity to shape the role and take on real responsibility from day one. The responsibilities Extract and analyse data from iwoca's loan book, loss rates, customer outcomes, and pricing distributions to uncover insights that support our public positioning. Build and maintain briefing packs on key topics: business survival rates, pricing, personal guarantees, automation, and regulatory impact. Translate complex data into clear, defensible documents with key statistics, talking points, and visualisations for non-technical audiences. Coordinate with external research partners (e.g. Capital Economics) - preparing data packages, briefing them on our business, and quality-assuring their outputs. Work with Comms to respond rapidly to media or policy inquiries - producing accurate data when inbounds come in. Publish work and write data-driven content for iwoca's website, supporting marketing lead generation, media and investor relations. Support the Comms team on existing data-driven PR initiatives such as our SME Expert Index and Business Hotspots research. Run a quarterly review process with senior stakeholders to identify emerging concerns and commission new analysis. The requirements Comfortable working with raw data in Python or SQL, including cleaning, transforming, and visualising datasets to uncover insights Demonstrates curiosity to use and learn more about AI tools. You'll already be comfortable using AI tools in practical ways to help solve problems, increase productivity and improve quality of work, showing good judgement about when to use them and the ability to explain the reasoning behind that use. Use AI tools to explore data, generate insights, and improve workflows, with a focus on accuracy and analytical rigour. Strong analytical skills with a structured approach to problem-solving - you're curious, methodical, and comfortable getting to the root of a messy or ambiguous question An excellent communicator - you can take complex data and translate it into simple, compelling narratives for colleagues in comms, policy, or the executive team. Self-starting and adaptable - able to work independently in a fast-paced environment where priorities can shift quickly Comfortable moving between strategic thinking and hands-on execution - whether it's investigating a data anomaly or presenting findings to senior leadership Academic or practical experience in a quantitative field, such as Economics, Finance, Product, Maths, Engineering, or Computer Science Previous experience in a role involving data analysis and AI - whether in consulting, policy, finance, journalism, or a research setting. Salary is flexible based on experience. An interest in small businesses and the policy debates around SME finance - you don't need to be an expert, but you should be curious about the space. Nice to have Experience working in or with government, regulators, think tanks, or policy teams Familiarity with economic impact modelling or econometric analysis Experience producing research for external publication or media use Understanding of UK financial services regulation or the alternative lending market The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependants. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
05/06/2026
Full time
Data Analyst - Strategic Comms Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4.5 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team As the Research Analyst for the Strategic Communications team, you will build iwoca's evidence base for public policy arguments. You'll become the expert on what iwoca's data can tell us about our impact - on customer outcomes, business survival, pricing, and the wider economy - and translate that into compelling materials for policymakers, journalists, and senior stakeholders. You'll work alongside our comms team and report to the Director of Strategic Communications, with regular interaction with iwoca's executive team. The role sits at the intersection of data, policy, and communications and collaborates with Risk, Product, Operations, Finance, and Investor Relations to extract insights and translate them into materials that shape how iwoca is understood externally. There's a clear career trajectory here. With time, you could build a new research function, or you might discover that you love the communications and become a data-driven PR professional. Either way, you'll have the opportunity to shape the role and take on real responsibility from day one. The responsibilities Extract and analyse data from iwoca's loan book, loss rates, customer outcomes, and pricing distributions to uncover insights that support our public positioning. Build and maintain briefing packs on key topics: business survival rates, pricing, personal guarantees, automation, and regulatory impact. Translate complex data into clear, defensible documents with key statistics, talking points, and visualisations for non-technical audiences. Coordinate with external research partners (e.g. Capital Economics) - preparing data packages, briefing them on our business, and quality-assuring their outputs. Work with Comms to respond rapidly to media or policy inquiries - producing accurate data when inbounds come in. Publish work and write data-driven content for iwoca's website, supporting marketing lead generation, media and investor relations. Support the Comms team on existing data-driven PR initiatives such as our SME Expert Index and Business Hotspots research. Run a quarterly review process with senior stakeholders to identify emerging concerns and commission new analysis. The requirements Comfortable working with raw data in Python or SQL, including cleaning, transforming, and visualising datasets to uncover insights Demonstrates curiosity to use and learn more about AI tools. You'll already be comfortable using AI tools in practical ways to help solve problems, increase productivity and improve quality of work, showing good judgement about when to use them and the ability to explain the reasoning behind that use. Use AI tools to explore data, generate insights, and improve workflows, with a focus on accuracy and analytical rigour. Strong analytical skills with a structured approach to problem-solving - you're curious, methodical, and comfortable getting to the root of a messy or ambiguous question An excellent communicator - you can take complex data and translate it into simple, compelling narratives for colleagues in comms, policy, or the executive team. Self-starting and adaptable - able to work independently in a fast-paced environment where priorities can shift quickly Comfortable moving between strategic thinking and hands-on execution - whether it's investigating a data anomaly or presenting findings to senior leadership Academic or practical experience in a quantitative field, such as Economics, Finance, Product, Maths, Engineering, or Computer Science Previous experience in a role involving data analysis and AI - whether in consulting, policy, finance, journalism, or a research setting. Salary is flexible based on experience. An interest in small businesses and the policy debates around SME finance - you don't need to be an expert, but you should be curious about the space. Nice to have Experience working in or with government, regulators, think tanks, or policy teams Familiarity with economic impact modelling or econometric analysis Experience producing research for external publication or media use Understanding of UK financial services regulation or the alternative lending market The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependants. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
About the Opportunity Job Type: Permanent Application Deadline: 10 June 2026 Title: Senior Business Analyst - Conversational Agent Department: Enterprise Service Management Location: UK Reports To: Global Digital Employee Experience Lead Level: 4 About your role The Digital Employee Experience Senior Business Analyst will shape and deliver an intelligent and innovative digital engagement layer, providing a single, AI powered front door for Fidelity's employees to complete day to day tasks, and engage with organisational information, processes, and resources. This role aims to transform how employees engage with tasks and processes, placing AI powered, data driven, outcome focused experiences at the core. The role will work within a Scrum team, supporting the Digital Employee Experience Product Owner, and acting as a proxy for the Product Owner where required, with a focus on delivering incremental value at pace, while capitalising on new technologies. Following product management best practice, the role will tightly link employee needs, data insights, technology capabilities, and measurable business outcomes. Product Delivery and Business Analysis Within the Agile Scrum team, support the Digital Employee Experience Product Owner in driving and delivering towards the vision, roadmap, and prioritised backlog for the conversational AI engagement layer. Capture requirements and use cases for the Product, analyse dependencies, define processes, and identify blockers where needed to unlock development of the Product at pace. Ensure technical delivery and prioritisation aligns closely to the product strategy, value propositions, and success measures, supporting the Digital Employee Experience Strategy and wider organisational priorities. Balance short term delivery and value with longer term platform evolution, scalability, and product health. AI First Experience Design Shape a product that embeds AI as the default interaction model, leveraging conversational AI, agent orchestration, automation, and content intelligence to reduce friction in employee journeys, shift work from humans to AI where appropriate, and support overall pace of process completion across the organisation. Drive effective AI product development, anticipating the risks and dependencies to create an effective AI ecosystem, and supporting responsible and well governed AI adoption at scale. Partner closely with Enterprise AI, Architecture, vendors, and other stakeholders to ensure secure, scalable, enterprise grade AI adoption within the engagement layer. Data Driven Transformation Use quantitative and qualitative data (experience signals, usage analytics, feedback, journey metrics) to identify friction and unmet employee needs, drive prioritisation decisions, and demonstrate measurable improvements in productivity, satisfaction, and effort reduction. Translate complex insight into clear product decisions, trade offs, and outcome narratives for senior stakeholders. Stakeholder Leadership & Alignment Build strong, trusted relationships across Technology, Architecture, HR, Communications, Corporate Property Services, Risk, and other business units, to ensure clear alignment on priorities, shared accountability for outcomes, and consistent experience patterns across the firm. Work closely with teams managing underlying platforms which underpin the AI engagement layer (such as knowledge management platforms) to create integrated strategies, roadmaps, and consistency of DEX focus. Act as a strong, credible voice of the employee, anchoring decisions in evidence based needs. Planning, Decision Making & Scope Complete business analysis work packages, and make product and design decisions where appropriate, that influence cross functional delivery, investment prioritisation, and employee experience at scale. Resolve moderately complex problems through structured analysis, judgement, and risk assessment, escalating only when necessary. Balance competing demands while maintaining clear focus on outcome led delivery and strategic intent. Success Measures Visible progress at pace towards a coherent, AI first employee engagement layer that becomes the natural front door to administrative task completion at Fidelity. Faster time to value for new DEX capabilities through improved business analysis, product and delivery discipline. Clear linkage between engagement layer improvements and productivity, service effectiveness, and employee confidence. About You Proven experience as a Business Analyst or Product Owner for complex digital platforms, AI solutions, and/or employee facing products. Strong understanding of digital experience platforms, conversational and AI driven interfaces, and modern workplace and intranet ecosystems. Demonstrated ability to use data to drive decisions, prioritisation, and change. Hands on Agile practitioner with experience working in Scrum teams operating at pace. Confident communicator, able to align senior stakeholders while working deeply with delivery teams. Comfortable operating in ambiguity, with a bias toward action, learning, and continuous improvement. Feel rewarded We'll offer you a comprehensive benefits package, support your wellbeing and development, and provide flexibility in where and when you work. For more about our work, our approach to dynamic working and how you could build your future here, visit As an international financial services organisation, we are in scope of international regulations in the way that we carry out our work. This position is involved in work that is regulated by the FCA and/or the PRA and their Individual Conduct Rules (COCON) apply to it, along with any other regulation. We provide training on COCON and how it affects our employees. More information about COCON can be found in the Employment Handbook.
05/06/2026
Full time
About the Opportunity Job Type: Permanent Application Deadline: 10 June 2026 Title: Senior Business Analyst - Conversational Agent Department: Enterprise Service Management Location: UK Reports To: Global Digital Employee Experience Lead Level: 4 About your role The Digital Employee Experience Senior Business Analyst will shape and deliver an intelligent and innovative digital engagement layer, providing a single, AI powered front door for Fidelity's employees to complete day to day tasks, and engage with organisational information, processes, and resources. This role aims to transform how employees engage with tasks and processes, placing AI powered, data driven, outcome focused experiences at the core. The role will work within a Scrum team, supporting the Digital Employee Experience Product Owner, and acting as a proxy for the Product Owner where required, with a focus on delivering incremental value at pace, while capitalising on new technologies. Following product management best practice, the role will tightly link employee needs, data insights, technology capabilities, and measurable business outcomes. Product Delivery and Business Analysis Within the Agile Scrum team, support the Digital Employee Experience Product Owner in driving and delivering towards the vision, roadmap, and prioritised backlog for the conversational AI engagement layer. Capture requirements and use cases for the Product, analyse dependencies, define processes, and identify blockers where needed to unlock development of the Product at pace. Ensure technical delivery and prioritisation aligns closely to the product strategy, value propositions, and success measures, supporting the Digital Employee Experience Strategy and wider organisational priorities. Balance short term delivery and value with longer term platform evolution, scalability, and product health. AI First Experience Design Shape a product that embeds AI as the default interaction model, leveraging conversational AI, agent orchestration, automation, and content intelligence to reduce friction in employee journeys, shift work from humans to AI where appropriate, and support overall pace of process completion across the organisation. Drive effective AI product development, anticipating the risks and dependencies to create an effective AI ecosystem, and supporting responsible and well governed AI adoption at scale. Partner closely with Enterprise AI, Architecture, vendors, and other stakeholders to ensure secure, scalable, enterprise grade AI adoption within the engagement layer. Data Driven Transformation Use quantitative and qualitative data (experience signals, usage analytics, feedback, journey metrics) to identify friction and unmet employee needs, drive prioritisation decisions, and demonstrate measurable improvements in productivity, satisfaction, and effort reduction. Translate complex insight into clear product decisions, trade offs, and outcome narratives for senior stakeholders. Stakeholder Leadership & Alignment Build strong, trusted relationships across Technology, Architecture, HR, Communications, Corporate Property Services, Risk, and other business units, to ensure clear alignment on priorities, shared accountability for outcomes, and consistent experience patterns across the firm. Work closely with teams managing underlying platforms which underpin the AI engagement layer (such as knowledge management platforms) to create integrated strategies, roadmaps, and consistency of DEX focus. Act as a strong, credible voice of the employee, anchoring decisions in evidence based needs. Planning, Decision Making & Scope Complete business analysis work packages, and make product and design decisions where appropriate, that influence cross functional delivery, investment prioritisation, and employee experience at scale. Resolve moderately complex problems through structured analysis, judgement, and risk assessment, escalating only when necessary. Balance competing demands while maintaining clear focus on outcome led delivery and strategic intent. Success Measures Visible progress at pace towards a coherent, AI first employee engagement layer that becomes the natural front door to administrative task completion at Fidelity. Faster time to value for new DEX capabilities through improved business analysis, product and delivery discipline. Clear linkage between engagement layer improvements and productivity, service effectiveness, and employee confidence. About You Proven experience as a Business Analyst or Product Owner for complex digital platforms, AI solutions, and/or employee facing products. Strong understanding of digital experience platforms, conversational and AI driven interfaces, and modern workplace and intranet ecosystems. Demonstrated ability to use data to drive decisions, prioritisation, and change. Hands on Agile practitioner with experience working in Scrum teams operating at pace. Confident communicator, able to align senior stakeholders while working deeply with delivery teams. Comfortable operating in ambiguity, with a bias toward action, learning, and continuous improvement. Feel rewarded We'll offer you a comprehensive benefits package, support your wellbeing and development, and provide flexibility in where and when you work. For more about our work, our approach to dynamic working and how you could build your future here, visit As an international financial services organisation, we are in scope of international regulations in the way that we carry out our work. This position is involved in work that is regulated by the FCA and/or the PRA and their Individual Conduct Rules (COCON) apply to it, along with any other regulation. We provide training on COCON and how it affects our employees. More information about COCON can be found in the Employment Handbook.
