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Senior Technical Business Analyst £150,000 Permanent London Industry: Commodity Trading Location: London - 3 days Onsite Job Type: Permanent Our client is a global commodity trading house operating across energy and commodities markets, including power, gas and LNG. They are seeking a Senior Technical Business Analyst to sit at the intersection of front office trading and technology delivery, helping shape the pricing tools, curve analytics and market data infrastructure that underpin trading activity across the business. This is a highly commercial and analytical role focused on forward curve construction, fair value pricing and front office tooling. You will work closely with traders, quants and market risk teams to build and enhance pricing models across power, gas and LNG markets, while also acting as a key bridge into technology and analytics teams. The role requires someone who combines deep commodity market understanding with strong technical capability and the ability to independently deliver solutions in a fast-moving trading environment. What You'll Be Doing Build, maintain and improve power forward curves and fair value pricing models, incorporating key market drivers including gas prices, carbon costs, generation stack economics, weather and demand dynamics. Develop and validate forward curves across gas and LNG markets, including handling illiquid tenors and understanding the interaction between global LNG pricing benchmarks. Work directly with traders, quants and market risk teams to capture commercial requirements and translate them into clearly defined technical initiatives. Build proof of concepts and analytical tooling in Python and Excel, with the ability to deliver production-ready solutions where appropriate. Act as product owner for internal pricing, analytics and visualisation tools, maintaining a prioritised roadmap aligned to front office requirements. Support the implementation and enhancement of trading analytics infrastructure, ensuring scalability and alignment with business growth objectives. Leverage modern development practices and AI-assisted tooling to improve delivery speed, automation and documentation quality. Provide hands on support for traders using pricing tools, market data feeds and analytical models as part of day to day trading operations. Requirements Essential Strong experience within commodity trading environments, with particular expertise across power markets, forward curve construction and fair value pricing methodologies. Deep understanding of power market fundamentals, including gas, carbon, renewables, hydro, demand and generation stack dynamics. Knowledge of spark spreads, dark spreads and cross commodity pricing relationships within power generation economics. Strong understanding of gas and LNG markets, including global benchmark pricing relationships and curve construction in less liquid markets. Excellent technical capability in Python and Excel, including building pricing models, automating processes and constructing analytical tooling independently. Experience working closely with front office trading teams and translating commercial workflows into scalable technology solutions. Strong understanding of the trade lifecycle and how front office activity impacts downstream risk, P&L and operational processes. Ability to operate autonomously within a flat, high performance trading environment and take ownership of delivery. Highly Desirable Experience working with ETRM systems and understanding trade data flows across trading platforms. Exposure to pricing analytics, visualisation platforms or internal front office tooling ownership. Experience bridging front office, quantitative and engineering teams within trading organisations. Familiarity with AI assisted development tooling and modern delivery practices.

Montagu Evans LLP is looking for an Analyst to join their Advisory Department in London. This role involves delivering high-quality, evidence-led advice to clients, encompassing quantitative analysis and project management support. The ideal candidate will perform various tasks within the DSA team, assist Senior Advisors, and actively contribute to client deliverables. Strong skills in quantitative analysis and communication are essential, along with commercial awareness and the ability to handle multiple tasks independently.

Job Role: Senior Data Analyst MPA are currently recruiting on behalf of our public service client for a Junior Data Analyst in the Belfast Area. The post holder will be responsible for managing the development, production, and delivery of complex statistical, qualitative, and/or quantitative reports for emergency and non-emergency or corporate activity-based information for Executive Directors, Senior Managers, and external Health and Social Care Organisations or agencies as required. He/she will provide specialist knowledge in interpretation and analysis of information, define reporting/information requirements, and ensure that methods of information delivery meet the needs of users both in terms of requirements and capabilities. Location: Belfast Hours: 37.5 hours per week (Monday - Friday) Salary: £19.10 Job Description: To produce detailed and timely Trust level corporate activity reports on a daily, weekly, and monthly basis for distribution to Executive Directors, Area Managers, and other senior staff. To produce reports and analysis to investigate activity trends within the Trust and ensure data accuracy through cleaning. To analyze data and produce reports for returns to the Department of Health, Health and Social Care Board, and other agencies. To act as a contact for queries from external stakeholders regarding statutory returns. To communicate complex findings clearly to staff and stakeholders at all levels, ensuring key insights are well conveyed. To define information requirements for complex requests, ensuring clear communication of issues. To possess in-depth knowledge and experience in statistical methodologies. To handle multiple large datasets and perform appropriate analyses. Essential Experience: Knowledge and experience with Microsoft Office, especially Access databases and Excel Pivot tables; familiarity with web applications. A degree in Computing, IT, Information Management, or related fields with at least one year of relevant experience in information analysis or statistics. Alternatively, five years of relevant experience with a strong background in information analysis or statistics. Highly skilled in data analysis, interpretation, and presentation; effective communication in meetings. Attention to detail and confidentiality in handling data. Desirable Criteria: Knowledge of Geographical Information Systems (GIS). Knowledge of visual basics/VBA. Knowledge and experience with SQL. Understanding of HSC data standards and modernization initiatives.

About The Company At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2 year over year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About The Role Senior Machine Learning Engineers at Cleo work on building novel solutions to real world problems. This could involve creating chatbots that coach our users around their financial health, building classifiers to better understand transaction data, or optimizing transactions within our payments platform. Ultimately, we're looking for a brilliant senior machine learning engineer to join us on our mission to fight for the world's financial health. You'll lead technical work within a team of adaptable, creative, and product focused engineers, train and integrate cutting edge machine learning across a variety of products, and deploy them into production for millions of users. What You'll Be Doing Training and fine tuning models to solve customer problems. Deploying these models into our production environments using our in house ML platform. Integrating with large language models hosted by OpenAI, Anthropic, GCP, AWS, and others. Working cross functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users' financial health. Taking the initiative to propose and lead technical work toward problems that were previously unknown or poorly understood. Driving change at the chapter level that affects multiple squads. Mentoring and advising colleagues on model choice, architecture, and evaluation, and promoting best practices for how we use LLMs. Developed deeper understanding of users' finances through models extracting meaning from transaction data. Developed contextual intent classifiers to understand conversations users have with Cleo. Built ML models to present user actions in a contextual way within conversations. Built ML models to assess risk of customers using bank transaction features and user activity. Built models to optimize payment success for our customers and optimize business costs. What You'll Need Excellent knowledge of both data science (Python, SQL) and production tools. Deep understanding of probability and statistics fundamentals. Big picture thinking to diagnose problems and operationalize research. Top tier communication skills to partner with product and commercial leaders. Industry leading contributions to your field communicated through conferences, blogs, talks, or open source projects. Advanced degree in a quantitative discipline or equivalent commercial experience. Nice to have: Strong experience with additional programming languages such as Java, Scala, or C++. Recruitment Process Interview with a recruiter (30 minutes). Interview with the hiring manager (30 minutes). Python coding interview (45 minutes). White boarding session (60 minutes). Technical discussion (45 minutes). Company Cleo

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 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.

Lead Associate - Consumer Intelligence & Analytics (5 month FTC) Lead Associate - Consumer Intelligence & Analytics (5 month FTC) Role responsibilities Develop and deliver a Consumer Insight strategy for the FCA, including a target operating model aligned to stakeholder needs. Design and enhance analytical products, adding creativity and value. Manage 2-3 Analysts/Senior Analysts, supporting their development through coaching and mentoring. Contribute to the Consumer Intelligence & Analytics (CI&A) management team, supporting initiatives, resource planning, and prioritisation. Conduct qualitative and quantitative analysis, including data manipulation and visualisation. Engage stakeholders to understand needs and promote the use of data and analytical tools. Support requirements gathering and solution design to deliver insights on consumers and markets. Apply design thinking to solve problems and ensure value driven solutions. Work closely with experts and analysts to define project goals and deliver outcomes. Collaborate to identify business challenges where data and insight can support better outcomes. Skills required Extensive experience in data analytics, using tools such as Python, SQL, and Tableau to deliver impactful insights and solve business problems. Demonstrated ability to lead and develop teams of analysts, with responsibility for team leadership and individual development. Experience working with qualitative and quantitative data, delivering and overseeing analysis in a variety of formats. Solid people management and coaching skills, with the ability to support and develop others. Effective organisational skills, with the ability to prioritise and manage both individual and team workloads. Clear and professional communication skills, with the ability to build and manage stakeholder relationships. Experience engaging stakeholders to define requirements, use cases, and priorities. Demonstrated ability to collaborate across teams, building connections to deliver shared outcomes. Ability to plan, allocate tasks, and deliver practical, high value outputs while tracking progress and managing risks. A curious and methodical mindset, with good problem solving skills. Benefits 25 days annual leave plus bank holidays. Non contributory pension (8-12% depending on age) and life assurance at eight times your salary. Private healthcare with Bupa, income protection, and 24/7 Employee Assistance. 35 hours of paid volunteering annually. Hybrid model with a minimum of 40% office presence each month. A flexible benefits scheme designed around your lifestyle. We are a Disability Confident Employer, and we welcome applications from individuals with disabilities or long term conditions who best meet the minimum criteria for this role.

Join Market Risk Reporting, a global team within Risk Reporting Middle Office that supports JPMorgan Chase's risk management strategy through changing market conditions by delivering critical Firmwide and Wholesale reporting for internal and regulatory needs. You will have opportunities to lead, own processes, and drive improvements, as the team supports a wide range of risk types across all businesses the bank offers. As an Analyst within the Market Risk Reporting team, you will produce key reports at the Firmwide and Legal Entity levels to meet stakeholder and regulatory requirements and to support assessment and monitoring of the firm's capital requirements. The wider team covers a range of risk stripes, including Value-at-Risk (VaR), Stress, Volcker, SNPR (Single Name Position Risk), and PI (Permitted Instruments). Job Responsibilities Produce periodic Market Risk reports and metrics Deliver firmwide and legal entity reporting to meet stakeholder and regulatory requirements Identify control gaps, strengthen controls, and resolve reporting issues Support periodic reviews of reports and processes and maintain relevant documentation Participate in strategic projects and tactical initiatives to automate and streamline processes Apply intelligent solutions (such as Tableau, Alteryx, and large language models) to improve reporting outcomes Support key business decisions and change initiatives through timely, accurate reporting Collaborate with teams across lines of business to align on requirements, definitions, and deliverables Communicate clearly with senior stakeholders on reporting deliverables, risks, and process improvements Required qualifications, capabilities and skills Bachelor's degree in Business, Accounting, Finance, Information Systems, or a related quantitative discipline Previous experience in reporting, financial analytics, or a related role Advanced proficiency in Microsoft Excel and broader Microsoft Office tools Strong communication and collaboration skills to work effectively across departments Critical thinking and ability to work independently to drive issues to resolution Ability to prioritize work and deliver continuous process improvements High attention to detail with a strong commitment to data quality and controls Adaptability and learning mindset, including eagerness to learn new technologies Preferred qualifications, capabilities and skills Experience with Tableau, Alteryx, and Python Background in risk management or risk-related functions

Herbert Smith Freehills Kramer is a world leading global law firm. This role is focused on designing, building, and maintaining the firm's data engineering solutions in Azure cloud environments. Key Responsibilities Manage the capture, storage and dissemination of data in the cloud infrastructure used by the business. Build and optimize large, complex data sets that meet functional and non functional business requirements. Implement data processes that deliver easy access to data domains, enabling self service and advanced analytics. Design and develop data lake and delta lake technologies for cloud data ingestion, classification, storage, and dissemination. Build and manage ETL/ELT pipelines using SQL and Azure big data technologies. Design and implement data models to enable analysts and data consumers to quickly access needed data, both structured and unstructured. Develop analytics technologies to provide actionable insights into customer acquisition, operational efficiency and other key performance metrics. Administer Azure databases, ensuring performance tuning, backup, recovery, and routine maintenance. Monitor access, audit logs and enforce data masking and encryption at rest and in transit, adhering to strict security protocols. Validate data quality using established frameworks and testing methodologies to ensure reliable, trustworthy data. Collaborate with stakeholders (Executive, Product, Data, and Design teams) to address data related technical issues and support infrastructure needs. Maintain separation and security of data across global boundaries through multiple data centres and Azure regions. Work with data and analytics experts to improve functionality of data systems. Manage data domains with stewards to generate consumable data products. Utilise metadata and master data management tools for reference data. Lead the technical implementation of the enterprise data warehouse and PowerBI reporting. Back fill management of the business intelligence/data management team until a manager is appointed. Qualifications, Skills and Experience 5+ years of experience in a Data Engineer role. Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Advanced SQL knowledge and experience with relational databases and query authoring. Experience building and optimizing big data pipelines, architectures and datasets. Strong analytical skills for working with unstructured data. Proficiency in building processes for data transformation, metadata, dependency and workload management. Experience with message queuing, stream processing and highly scalable big data stores. Project management and organisational skills; ability to work cross functionally in a dynamic environment. Detailed experience in data modelling in cloud environments, both structured and unstructured. On call support experience for Enterprise Data Warehouse, Global Data Warehouse and global ETL processes. Microsoft Azure certifications highly considered (e.g., Azure Data Engineer Associate, DP 203). Working knowledge of Hadoop, Spark, Kafka, Storm, Spark Streaming and other big data tools. Experience with relational and NoSQL databases, data pipeline and workflow management tools. Proficiency in Python, Java, C++, Scala or similar scripting languages. Experience with Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, Azure Databricks and PowerBI or similar visualisation tools. Innovative mindset, curiosity about AI and emerging technologies. Location & Contract London - Full time - Permanent Diversity & Inclusion We are committed to attracting people from all backgrounds and creating a respectful and inclusive culture where everyone thrives. This is an essential part of our success and a key part of our values - Human, Bold, and Outstanding.

Koch Metals Trading Limited (Category 2 LME Member) is seeking a Business Systems Analyst to support our global Metals trading business in our London office. In this role, you will be the senior IT partner to traders, risk, operations, and finance across our precious and base metals desks - translating complex trading, risk, settlement, and regulatory needs into solutions on our Trinity (by Quoreka) trading platform and surrounding data ecosystem. Success requires deep industry knowledge of physical and financial metals trading, strong analytical and mathematical problem solving instincts, and the technical depth to write SQL - often non trivial Oracle queries - that turns ambiguous business questions into defensible answers. Location This role is based in our London, UK office. What You Will Do Act as the bridge between front, middle, back office and the IT delivery team - partnering with traders, risk, operations, finance, and technology to offer support and deliver high value solutions across the metals trade lifecycle. Lead requirements workshops with traders and operations; document current ("as is") and future ("to be") trade lifecycle processes, and translate them into clear functional specifications, user stories, and process maps. Validate end to end trade lifecycle flows on Trinity - trade capture, pricing, exposure, mark to market, P&L, confirmations, settlements, invoicing, warrant management, and regulatory reporting. Author and tune complex Oracle SQL queries to investigate trade, position, P&L, and risk data; reconcile across systems; and produce analysis the business can act on. Translate LME, UK EMIR REFIT, and MiFID II reporting and position management changes into Trinity configuration, data model, and downstream interface requirements. Work with the team to manage a prioritized backlog of metals trading initiatives, balancing trader driven enhancements, risk and regulatory commitments, and platform health. Drive UAT planning, execution, defect management, and stakeholder sign off for Trinity changes and adjacent system work. Evaluate solution options end to end, ensuring compliance with internal policy, exchange rules, and applicable regulation. Build strong stakeholder relationships across London, Wichita, and other Koch metals locations; communicate project status, risks, and trade offs clearly to senior business and IT leadership. Who You Are (Basic Qualifications) Several years of experience as a Business Analyst, Business Systems Analyst, or comparable role supporting a commodities trading business (metals strongly preferred), with demonstrable seniority and ownership. Deep, hands on understanding of the physical and financial metals trade lifecycle - trade capture, pricing, exposure, P&L, confirmations, settlements, invoicing, and warrant management. Strong knowledge of risk management concepts relevant to metals trading: MTM, P&L attribution, exposure, margin, and credit. Hands on experience with one or more CTRM platforms across front, middle, and back office. Strong Oracle SQL ability - able to independently write and optimize complex queries against production trading data without depending on a developer. Strong mathematical and analytical problem solving skills; comfort working with pricing, curves, and valuations. Proven experience translating business requirements into functional specifications, user stories, and process maps. Excellent written and verbal communication; able to influence at all levels of the organization and with external vendors. What Will Put You Ahead Hands on experience with Trinity by Quoreka. Direct experience with precious metals (gold, silver, platinum) and base metals (copper, aluminum, zinc, nickel, lead, tin) trading. Working knowledge of LME warranting, position limits, and post trade transparency obligations. Familiarity with UK EMIR REFIT and MiFID II transaction and commodity position reporting in a CTRM context. Experience with system integrations to ERP, data warehouses, market data providers (e.g., Bloomberg, Refinitiv), and exchange / clearing interfaces. Experience implementing AI or automation driven solutions to drive efficiencies in trading or back office workflows. Experience with Microsoft toolsets and AWS cloud services. Degree in Finance, Economics, Mathematics, Engineering, Computer Science, Trading, or a related quantitative field; equivalent industry experience will be considered.

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.

About the Role Grade Level (for internal use): 11 The Structured Finance (SF) team develops and maintains quantitative criteria, models, and tools that support credit rating and research across ABS, RMBS, CMBS, and structured credit. The team values technical rigor, timely delivery, and close collaboration with Methodologies and Ratings Technology to produce transparent, repeatable outputs used by global analysts. The role provides practical quantitative and technical support that improves the efficiency, transparency, and consistency of credit analyses and research. Deliverables will be used by analysts and SMEs to inform rating decisions and maintain operational reliability of models and tools. The role plays a significant part in initiatives to improve structured finance modeling efficiencies while enhancing the knowledge and skill base of the organization. What's In It For You Deliver tools and analyses that directly support rating decisions and research across global teams Build production-quality scripts, dashboards, and integrations while expanding practical experience with C++, Python, R and SQL Work with Methodologies, Ratings Technology, and Validation and mentor junior developers Deepen practical knowledge of structured finance securitizations and credit risk modeling Build relationships with peers outside of your team and function and be called upon by senior staff to advise on complex issues using an analytical perspective Responsibilities Develop, maintain, and deploy user focused quantitative tools, scripts, and dashboards to support credit analysts, following specifications from SMEs Integrate models, data, and visualizations into reliable applications that support day to day analytical workflows Analyze and synthesize datasets to produce actionable inputs, reports, and validation ready outputs with particular focus on structured finance securitizations Produce clear development documentation, test cases, and specifications; collaborate closely with Model and Criteria Validation to address feedback Troubleshoot and resolve technical issues for non routine problems, escalating complex or ambiguous matters to senior SMEs Identify and implement incremental improvements to existing tools and processes that align with business needs Coach and guide junior developers on technical tasks and best practices; support criteria projects by assisting with tool development, testing, and data gathering All employees are required to work from the office a minimum of 2 days per week Basic Required Qualifications 3-5+ years of experience in quantitative modeling or software development supporting financial analysis Bachelor's degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics, or a related field Hands on C++ experience is a core requirement for this position Proficiency in quantitative programming languages such as Python and R (experience with R Shiny preferred); solid SQL skills and familiarity with relational databases Experience delivering reliable scripts, tools, or dashboards into production like environments Working knowledge of structured finance securitizations and capital markets concepts; able to apply domain knowledge to support model inputs and analyst workflows Clear written and verbal communication; able to explain technical concepts to analysts and peers Proven ability to work in cross functional teams and follow direction from senior SMEs All candidates who reach the final stage of our interview process must attend at least one in person interview at the nearest S&P Global Ratings office before an offer can be extended Additional Preferred Qualifications Master's degree or advanced quantitative certification Prior experience building interactive Shiny applications or similar dashboards Familiarity with cloud environments and deploying analytical tools into production Experience with structured finance modeling methodologies and securitization analysis Compensation/Benefits Information The anticipated base salary range for this position is USD 101,000 - 122,000, depending on location, experience, and skills. This role is eligible for an annual incentive plan and additional S&P Global benefits. Right to Work Requirements All successful candidates must be authorized to work in the country where this position is located. S&P Global will not sponsor work authorization for this position. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. Accommodation for Applicants with Disabilities If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person.

At On the Beach, we're redefining how millions of customers discover, plan and book their holidays. Our platform sits at the heart of that experience and we're now investing in the next frontier: AI-driven travel discovery. We're forming a new AI Discovery team. A small, senior led group with a mandate to explore and shape the future of how customers search, discover and plan their trips. This is not a traditional product team. It's an innovation-focused environment where experienced engineers lead ideas end-to-end, from concept through to real world validation working directly on problems that could redefine the customer experience. About the Role As a Senior Software Engineer in the AI Discovery team, you'll work at the frontier of applied AI building and testing new product experiences with real customers. You'll focus on rapid experimentation and intelligent prototyping, exploring areas such as: Conversational trip planning AI-powered personalisation and recommendations New search and discovery paradigms using LLMs Agent based and workflow-driven experiences This role is about learning fast and building the right things, not just building things right. You'll collaborate closely with product managers, designers, analysts and researchers to design experiments, validate ideas and identify which opportunities are worth scaling into full product capabilities. Why This Role Is Different You'll work on AI-driven problems that reach real customers, not just internal demos, with the autonomy to explore ideas in a low-process, high-trust environment. This is a role where you'll help shape product direction as much as implementation, while influencing how AI is adopted across the organisation. You'll be part of a small, experienced team focused on solving meaningful problems and driving real impact. Why Join Us This is an opportunity to work at the intersection of AI, product, and customer experience, contributing to how a well-established travel platform continues to evolve with new technologies. If you enjoy exploring new ideas, experimenting with emerging tools, and building solutions that can influence product direction, we'd love to hear from you! What you'll be doing day to day Design and build lean, high-impact prototypes to test hypotheses with real customers Run multiple experiments each quarter using approaches like fake-door tests, rapid prototypes and beta releases Explore and apply modern AI capabilities, including LLMs, retrieval systems and recommendation techniques Work across the full stack: from backend services and APIs to frontend experiences Collaborate with cross-functional partners to design experiments that maximise learning Iterate quickly based on qualitative and quantitative feedback Partner with existing product teams when experimenting in their domains Contribute to internal tooling, patterns and approaches that accelerate AI adoption across engineering Balance speed and pragmatism, knowing when to move fast and when to invest in robustness You'll be a great addition to our team if you have the following skills, knowledge and experience We're looking for experienced engineers who are comfortable operating in ambiguous, fast-moving environments and enjoy solving new types of problems. Strong full-stack engineering skills, with the ability to ship working software quickly Experience working with modern AI/ML tools or APIs (e.g. LLMs, OpenAI, Anthropic, Bedrock or similar) A track record of working in ambiguous problem spaces and driving ideas forward The ability to make pragmatic technical decisions with incomplete information Experience building prototypes, MVPs, or working in innovation focused environments A strong product mindset (you care about customer impact, not just technical elegance!) Confidence communicating ideas and trade-offs to both technical and non-technical stakeholders A collaborative approach and the ability to work effectively across team boundaries Nice to Have Experience validating product ideas through experimentation (A/B testing, user research, etc.) Exposure to recommendation systems, search or personalisation problems Experience contributing to technical direction or mentoring other engineers What Success Looks Like Success in this role is defined by the impact you create and the speed at which we learn, rather than output alone. You'll run high-quality experiments that generate meaningful insights, identify promising opportunities early, and help shape their direction. As ideas prove their value, you'll play a key role in guiding them towards production while also helping to foster a broader culture of experimentation and AI adoption across engineering. What to expect from our interview process We'll run a multiple stage interview process, one stage we may ask you to pop in and visit in-person interview at our fabulous Aeroworks office in Manchester city centre. Alternatively we can usually accommodate a final stage virtually also. We want to make sure everybody has the opportunity to perform at their best. If you require any reasonable adjustments during the interview process please let the Talent Acquisition team know and they will be happy to assist. Ways of working Our full time hours are 37.5 per week, but we don't have rigid working hours so you can find the working pattern that's right for you. We have core working hours between 10am - 4pm, so we can collaborate and enjoy the social side of work. We also have hybrid working so we all work from home and from our Aeroworks office in Manchester City Centre. As a team we are in the office 1 day every 2 weeks (usually Tuesday or Wednesday). Our benefits We might be biased but we think our colleagues are pretty great. They're the people that have made On the Beach what it is today and continue to make it vibrant and successful tomorrow. That's why we offer a competitive benefits package, known as our Beach Perks, to all On the Beach colleagues. 25 days holiday plus your birthday off Generous discount on holidays, plus you will receive 2 extra days annual leave on top of your holiday allowance to use whilst you're away on your On the Beach package holiday Access to Learnerbly learning platform, plus workshops, courses and professional qualifications Enhanced maternity, paternity, shared parental leave and adoption pay, plus other family friendly support Employee Assistance Programme and free access to counselling Simplyhealth Optimise Health Plan Company Sick Pay scheme Regular wellbeing events Gym discount Share Incentive Plan (SIP) Death in Service cover Onsite subsidised coffee shop The Sandbox (our very own bar) Food and drink discounts across a number of venues in Manchester City Centre Regular social events Cycle to Work scheme

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.

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.

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.