Technical Business Analyst (Asset Management & Data Snowflake) Job Type Contract/Temporary Location Edinburgh Negotiable Job Ref BBBH23 Date Added May 21st, 2026 Consultant Technical Business Analyst (Data) 6 Months Contract Edinburgh (hybrid) Our UK leading pension client are currently looking for a Technical Business Analyst to join their team on an initial 6 month contract. Role Requirements Industry Experience Strong background in Financial Services, ideally with experience in Asset Management (highly beneficial). Regulatory Expertise Proven experience delivering work within a regulatory environment, including interpreting regulatory needs and ensuring compliance within technology or data solutions. Ability to translate business requirements into clear technical specifications for development teams. Skilled in working closely with product owners, SMEs, developers, and QA teams to ensure requirements are accurately implemented. Agile Delivery Must have hands-on experience working in Agile/Scrum sprint teams, contributing to ceremonies and supporting iterative delivery. Technical & Data Skills Highly technical and data-focused. Strong working knowledge of SQL (e.g., data analysis, querying, validation, reconciliation). Comfortable working with data models, pipelines, and translating data needs into actionable deliverables. Snowflake experience Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
24/05/2026
Full time
Technical Business Analyst (Asset Management & Data Snowflake) Job Type Contract/Temporary Location Edinburgh Negotiable Job Ref BBBH23 Date Added May 21st, 2026 Consultant Technical Business Analyst (Data) 6 Months Contract Edinburgh (hybrid) Our UK leading pension client are currently looking for a Technical Business Analyst to join their team on an initial 6 month contract. Role Requirements Industry Experience Strong background in Financial Services, ideally with experience in Asset Management (highly beneficial). Regulatory Expertise Proven experience delivering work within a regulatory environment, including interpreting regulatory needs and ensuring compliance within technology or data solutions. Ability to translate business requirements into clear technical specifications for development teams. Skilled in working closely with product owners, SMEs, developers, and QA teams to ensure requirements are accurately implemented. Agile Delivery Must have hands-on experience working in Agile/Scrum sprint teams, contributing to ceremonies and supporting iterative delivery. Technical & Data Skills Highly technical and data-focused. Strong working knowledge of SQL (e.g., data analysis, querying, validation, reconciliation). Comfortable working with data models, pipelines, and translating data needs into actionable deliverables. Snowflake experience Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Data Engineering - Data, Lakehouse and AI Data Platform Engineer - Analyst/Associate - London Job Description The Opportunity Join a team building the data foundations that support the firm's AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well governed and high performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform. This is a delivery focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed. Role Summary As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm's modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose. Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated. The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases. Key Responsibilities Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform. Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability. Where needed, build reusable tooling to improve delivery, consistency and operational support. Ensure data pipelines are production ready, well tested and operationally supportable. Data Modelling and Curation Develop raw, refined and curated datasets that support analytics, reporting and AI use cases. Apply sound data modelling principles to represent business entities, relationships and historical change accurately. Work with consumers to shape data products that are usable, well documented and aligned to business needs. Data Quality and Reconciliation Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets. Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise. Contribute to clear standards for testing, monitoring and issue resolution. Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day to day delivery. Delivery and Partnership Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations. Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling. For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers. Skills and Experience Required Bachelor's or master's degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise. Strong hands on programming experience in Python or Java. Good working knowledge of SQL, including troubleshooting, optimisation and data analysis. Ability to learn new tools, internal platforms and delivery workflows quickly. Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices. Data Engineering Capability Understanding of temporal data modelling, including the handling of historical state and change over time. Knowledge of schema design, schema evolution and data compatibility considerations. Understanding of partitioning, clustering and other techniques used to improve data performance at scale. Ability to make sensible design choices across normalised and denormalised models, and between natural and surrogate keys. Practical approach to data quality, reconciliation and root cause analysis. Experience building or supporting production data pipelines in a collaborative engineering environment. Experience working with distributed data processing frameworks such as Apache Spark. Working knowledge of common data formats such as JSON, Avro and Parquet. For More Experienced Candidates Stronger ownership of technical design across multiple datasets or pipeline domains. Experience guiding implementation standards, code quality and engineering practices within a team. Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers. Technology Environment The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic:ANSI SQL, Apache Spark, Kafka Platforms and storage:Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment:CI/CD tooling, containerised or Kubernetes based deployment approaches where relevant You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important. What We Are Looking For We are looking for engineers who can deliver well structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective. Stronger candidates will typically demonstrate: sound judgement in technical trade offs attention to detail in data correctness and testing a clear and structured approach to problem solving willingness to work closely with stakeholders and partner teams an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements an interest in developing long term expertise within the firm ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 169292 Job Category Associate Posting Date 04/16/2026, 03:00 PM Locations London, Greater London, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement . click apply for full job details
17/05/2026
Full time
Data Engineering - Data, Lakehouse and AI Data Platform Engineer - Analyst/Associate - London Job Description The Opportunity Join a team building the data foundations that support the firm's AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well governed and high performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform. This is a delivery focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed. Role Summary As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm's modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose. Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated. The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases. Key Responsibilities Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform. Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability. Where needed, build reusable tooling to improve delivery, consistency and operational support. Ensure data pipelines are production ready, well tested and operationally supportable. Data Modelling and Curation Develop raw, refined and curated datasets that support analytics, reporting and AI use cases. Apply sound data modelling principles to represent business entities, relationships and historical change accurately. Work with consumers to shape data products that are usable, well documented and aligned to business needs. Data Quality and Reconciliation Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets. Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise. Contribute to clear standards for testing, monitoring and issue resolution. Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day to day delivery. Delivery and Partnership Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations. Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling. For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers. Skills and Experience Required Bachelor's or master's degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise. Strong hands on programming experience in Python or Java. Good working knowledge of SQL, including troubleshooting, optimisation and data analysis. Ability to learn new tools, internal platforms and delivery workflows quickly. Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices. Data Engineering Capability Understanding of temporal data modelling, including the handling of historical state and change over time. Knowledge of schema design, schema evolution and data compatibility considerations. Understanding of partitioning, clustering and other techniques used to improve data performance at scale. Ability to make sensible design choices across normalised and denormalised models, and between natural and surrogate keys. Practical approach to data quality, reconciliation and root cause analysis. Experience building or supporting production data pipelines in a collaborative engineering environment. Experience working with distributed data processing frameworks such as Apache Spark. Working knowledge of common data formats such as JSON, Avro and Parquet. For More Experienced Candidates Stronger ownership of technical design across multiple datasets or pipeline domains. Experience guiding implementation standards, code quality and engineering practices within a team. Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers. Technology Environment The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic:ANSI SQL, Apache Spark, Kafka Platforms and storage:Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment:CI/CD tooling, containerised or Kubernetes based deployment approaches where relevant You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important. What We Are Looking For We are looking for engineers who can deliver well structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective. Stronger candidates will typically demonstrate: sound judgement in technical trade offs attention to detail in data correctness and testing a clear and structured approach to problem solving willingness to work closely with stakeholders and partner teams an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements an interest in developing long term expertise within the firm ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 169292 Job Category Associate Posting Date 04/16/2026, 03:00 PM Locations London, Greater London, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement . click apply for full job details
Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.For over 50 years our work has guided the decisions of the world's most influential energy producers, utilities companies, financial institutions and governments.Now, with the world's energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That's why we've redefined what's possible with Intelligence Connected.By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence - whether planning days, weeks, months or decades ahead.Wood MackenzieIntelligence ConnectedWoodMac.comWood Mackenzie Brand VideoWood Mackenzie ValuesInclusive - we succeed togetherTrusting - we choose to trust each otherCustomer committed - we put customers at the heart of our decisionsFuture Focused - we accelerate changeCurious - we turn knowledge into actionJob Description: Analytics EngineerRole PurposeA new Analytics Engineer position is being created to enhance the data team's capabilities in managing and transforming data within the Snowflake data platform using dbt (data build tool). This role will be pivotal in building a scalable and reliable data infrastructure to support analytics and data-driven decision-making across the business.The Analytics Engineer will act as a bridge between data engineers and data analysts, applying software engineering best practices to the analytics workflow. This includes developing, testing, and deploying data models, as well as ensuring data quality and creating robust documentation.Key Responsibilities:The successful candidate will be responsible for:Data Modelling and Transformation: Designing, developing, and maintaining scalable and efficient data models and transformation pipelines in Snowflake using dbt.Workflow Management: Building and managing data transformation workflows, ensuring data is timely, accurate, and ready for analysis.Data Quality and Governance: Implementing data quality tests and documentation to ensure the reliability and trustworthiness of the data. This includes supporting data governance and quality assurance activities.Collaboration: Working closely with data analysts, data engineers, and business stakeholders to understand data requirements and deliver actionable insights. The role involves engaging directly with stakeholders and building their confidence in data-driven outcomes.System Optimisation: Identifying opportunities to improve data processes, optimise performance, and ensure the scalability of the data platform.Technical Expertise: Acting as a subject matter expert on dbt and Snowflake, providing guidance and best practices to the wider data team. Profile:The ideal candidate will possess a strong technical background combined with excellent analytical and communication skills.Essential Experience and Qualifications:A Bachelor's degree in a quantitative field such as Data Science, Computer Science, or a related discipline.2-4 years of hands-on experience in a data-focused role, with proven experience in data modeling and transformation.Advanced proficiency in SQL for complex querying and data manipulation.Demonstrable experience with dbt and cloud data warehouses, particularly Snowflake.Proficiency with GitHub and AWS tools such as Step Functions, Athena, and S3, etc.Strong discipline in attention to detail, data accuracy, and structured working practices.Reliable execution and ownership of deliverables.Proactive learner with genuine curiosity for emerging technologies and a commitment to continuous professional development.Desirable Skills:Proficiency in Python for data handling and automation.Experience with ETL processes and data integration via APIs.Familiarity with data visualization tools such as Power BI or Tableau.A strong understanding of data governance frameworks and data security protocols.Exceptional problem-solving skills and a high level of attention to detail.The ability to translate complex technical concepts for non-technical audiences.A collaborative spirit and a commitment to continuous professional development.This new role is a fantastic opportunity for a data professional passionate about building modern data stacks and enabling organisations to leverage their data assets effectively.Equal OpportunitiesWe are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.
17/05/2026
Full time
Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.For over 50 years our work has guided the decisions of the world's most influential energy producers, utilities companies, financial institutions and governments.Now, with the world's energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That's why we've redefined what's possible with Intelligence Connected.By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence - whether planning days, weeks, months or decades ahead.Wood MackenzieIntelligence ConnectedWoodMac.comWood Mackenzie Brand VideoWood Mackenzie ValuesInclusive - we succeed togetherTrusting - we choose to trust each otherCustomer committed - we put customers at the heart of our decisionsFuture Focused - we accelerate changeCurious - we turn knowledge into actionJob Description: Analytics EngineerRole PurposeA new Analytics Engineer position is being created to enhance the data team's capabilities in managing and transforming data within the Snowflake data platform using dbt (data build tool). This role will be pivotal in building a scalable and reliable data infrastructure to support analytics and data-driven decision-making across the business.The Analytics Engineer will act as a bridge between data engineers and data analysts, applying software engineering best practices to the analytics workflow. This includes developing, testing, and deploying data models, as well as ensuring data quality and creating robust documentation.Key Responsibilities:The successful candidate will be responsible for:Data Modelling and Transformation: Designing, developing, and maintaining scalable and efficient data models and transformation pipelines in Snowflake using dbt.Workflow Management: Building and managing data transformation workflows, ensuring data is timely, accurate, and ready for analysis.Data Quality and Governance: Implementing data quality tests and documentation to ensure the reliability and trustworthiness of the data. This includes supporting data governance and quality assurance activities.Collaboration: Working closely with data analysts, data engineers, and business stakeholders to understand data requirements and deliver actionable insights. The role involves engaging directly with stakeholders and building their confidence in data-driven outcomes.System Optimisation: Identifying opportunities to improve data processes, optimise performance, and ensure the scalability of the data platform.Technical Expertise: Acting as a subject matter expert on dbt and Snowflake, providing guidance and best practices to the wider data team. Profile:The ideal candidate will possess a strong technical background combined with excellent analytical and communication skills.Essential Experience and Qualifications:A Bachelor's degree in a quantitative field such as Data Science, Computer Science, or a related discipline.2-4 years of hands-on experience in a data-focused role, with proven experience in data modeling and transformation.Advanced proficiency in SQL for complex querying and data manipulation.Demonstrable experience with dbt and cloud data warehouses, particularly Snowflake.Proficiency with GitHub and AWS tools such as Step Functions, Athena, and S3, etc.Strong discipline in attention to detail, data accuracy, and structured working practices.Reliable execution and ownership of deliverables.Proactive learner with genuine curiosity for emerging technologies and a commitment to continuous professional development.Desirable Skills:Proficiency in Python for data handling and automation.Experience with ETL processes and data integration via APIs.Familiarity with data visualization tools such as Power BI or Tableau.A strong understanding of data governance frameworks and data security protocols.Exceptional problem-solving skills and a high level of attention to detail.The ability to translate complex technical concepts for non-technical audiences.A collaborative spirit and a commitment to continuous professional development.This new role is a fantastic opportunity for a data professional passionate about building modern data stacks and enabling organisations to leverage their data assets effectively.Equal OpportunitiesWe are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.
As part of our continued growth and investment in our data and analytics capabilities we have an exciting opportunity for Senior Manager Data and Insights to join AJ Bell. As the Senior Manager Data and Insights, you will play a pivotal role in leading the delivery of high-impact data, business intelligence solutions, and commercial and customer analytics that help inform and sharpen the AJ Bell D2C strategy. This role sits at the heart our business and you will act as a trusted partner and adviser to our senior management team along with colleagues from product, marketing, digital and UX ensuring they have high quality data and insight at their fingertips. What does the job involve? Leadership of a growing and high performing team of data engineers, BI developers, and analysts - coaching individuals and the team to deliver their best for the business. Fostering a culture of collaboration, innovation, and continuous learning to drive professional growth and development within the team. Developing and delivering the D2C data strategy through consulting with stakeholders and developing a comprehensive understanding of their goals and strategies, ensuring our data architecture is robust, fit-for-purpose and scalable against out ambitious growth ambition. Ensuring strong technical and business processes including documentation so that our data pipelines and data assets are robust, and that change is delivered in a governed and controlled manner and at the pace our stakeholders require Setting out and delivering our reporting architecture, guiding the team to continuously improve our suite of dashboards, and rolling them put to the business and taking the lead on delivering self-service and improved data literacy across the division. You'll continually evolve our dashboard suite in line with stakeholder feedback Develop the analytics and insight roadmap, engaging with senior leaders across the business to ensure their immediate and longer-term needs are met. You will also act as the data and analytics SME in critical projects and programmes, ensuring they are supported with time-critical, relevant, and high-quality insights. Ensure the team deliver high-quality analytics projects that are accurate and on time/on brief but also that there are clear and well-evidenced recommendations and actions in place. Working closely with our stakeholders in D2C (particularly Marketing and Product) to understand their plans and strategies to develop an operating model and plans for data and analytics. You'll also take the lead on engaging with and working closely with our central data and technology teams to deliver changes and create an aligned way of working and ensure cross-functional alignment. Continually assess our ways of working and roadmaps, proactively identifying opportunities for efficiency and innovation Working closely with our central data and technology colleagues to collaborate on projects, share best practice and agree on common ways of working across the AJ Bell data community Ensure compliance with regulatory requirements and industry standards related to data privacy, security, and confidentiality. You'll ensure the team have effective controls in place, monitor any risks to the team, and own the rectification of any data incidents. Supporting and enabling the business to achieve its regulatory requirements, including consumer duty. About you Significant proven experience in leading and developing data, reporting and analytics teams in financial services or a highly regulated industry Excellent long-term planning and short-term prioritisation skills, including effective communication and ensuring delivery of priorities Experience of developing a data and analytics strategy and evidence of delivering against a prioritised roadmap A track record of delivering highly scalable and robust data architecture, and in particular working with real time or near real time data and pipelines. Experience of working with diverse data sources across customer, transactional and external data, and different cadences. Experience of working with third party data enhancement and marketing data sources such as Google Analytics is highly desirable In-depth knowledge of cloud-based data architecture, database development, and management. Previous experience with Snowflake is desirable Best practice for systems and data governance including development processes and documentationPrevious responsibility for business-critical data assets and platforms Hands-on experience and ownership of marketing automation platforms such as Salesforce Marketing Cloud, Braze, Marketo or Bloomreach is highly desirable. Proven understanding of GDPR and data governance, preferably in financial services Demonstrable experience of developing and scaling a high volume and complex reporting architecture and dashboard suite. Broad knowledge of business intelligence principles, approaches, and tools/platforms.Power BI is preferred Understanding of marketing and product performance metrics and approaches. Exposure to Google Analytics and user engagement tools and testing platforms such as Contentsquare, AppsFlyer, Optimizely is highly desirable. Experience of developing and applying robust AI-based approaches and LLMs to generate efficiencies Extensive experience of small- and large-scale analytical project approaches encompassing data mining, summarisation, and presentation of impactful and insightful results Excellent proficiency in data manipulation languages, particularly SQL, and able to write complex queries and repeatable stored procedures. Experience in low-code solutions like DBT is highly desirable Data storytelling and able to condense complex analytics into clear narratives and actions for a range of technical and non-technical stakeholders Practical experience of data science and predictive techniques such as regression modelling, cluster analysis, decision trees, etc. is desirable Strong understanding of data and systems integration and data pipelines including development approaches. Understanding of marketing and communication technologies, and modern personalised marketing principles particularly using CRM platforms and orchestration tools. Outstanding stakeholder engagement and management skills Highly effective communication skills and comfortable working with both technical and non-technical teams Proven ability to work effectively with multidisciplinary teams across technology, operations, product, and marketing. What we offer 27 days holiday, increasing with service + buy/sell scheme + bank holidays 8% Pension with matched contributions Discretionary bonus scheme Share schemes (including free shares and BAYE) Health Cash Plan and discounted private healthcare Enhanced family leave (subject to qualifying criteria) Travel and bike loan schemes Employee Assistance Programme We offer hybrid working, with a minimum of50% of your working time per monthspent in the office. This role can be based in London or Manchester. For new starters, there is an initial period of full-time office working to help you settle in and build relationships. Inclusion & diversity We're committed to creating an inclusive environment where everyone feels respected and able to be themselves at work. We welcome applications from all backgrounds and make hiring decisions based on skills, experience, and potential.
16/05/2026
Full time
As part of our continued growth and investment in our data and analytics capabilities we have an exciting opportunity for Senior Manager Data and Insights to join AJ Bell. As the Senior Manager Data and Insights, you will play a pivotal role in leading the delivery of high-impact data, business intelligence solutions, and commercial and customer analytics that help inform and sharpen the AJ Bell D2C strategy. This role sits at the heart our business and you will act as a trusted partner and adviser to our senior management team along with colleagues from product, marketing, digital and UX ensuring they have high quality data and insight at their fingertips. What does the job involve? Leadership of a growing and high performing team of data engineers, BI developers, and analysts - coaching individuals and the team to deliver their best for the business. Fostering a culture of collaboration, innovation, and continuous learning to drive professional growth and development within the team. Developing and delivering the D2C data strategy through consulting with stakeholders and developing a comprehensive understanding of their goals and strategies, ensuring our data architecture is robust, fit-for-purpose and scalable against out ambitious growth ambition. Ensuring strong technical and business processes including documentation so that our data pipelines and data assets are robust, and that change is delivered in a governed and controlled manner and at the pace our stakeholders require Setting out and delivering our reporting architecture, guiding the team to continuously improve our suite of dashboards, and rolling them put to the business and taking the lead on delivering self-service and improved data literacy across the division. You'll continually evolve our dashboard suite in line with stakeholder feedback Develop the analytics and insight roadmap, engaging with senior leaders across the business to ensure their immediate and longer-term needs are met. You will also act as the data and analytics SME in critical projects and programmes, ensuring they are supported with time-critical, relevant, and high-quality insights. Ensure the team deliver high-quality analytics projects that are accurate and on time/on brief but also that there are clear and well-evidenced recommendations and actions in place. Working closely with our stakeholders in D2C (particularly Marketing and Product) to understand their plans and strategies to develop an operating model and plans for data and analytics. You'll also take the lead on engaging with and working closely with our central data and technology teams to deliver changes and create an aligned way of working and ensure cross-functional alignment. Continually assess our ways of working and roadmaps, proactively identifying opportunities for efficiency and innovation Working closely with our central data and technology colleagues to collaborate on projects, share best practice and agree on common ways of working across the AJ Bell data community Ensure compliance with regulatory requirements and industry standards related to data privacy, security, and confidentiality. You'll ensure the team have effective controls in place, monitor any risks to the team, and own the rectification of any data incidents. Supporting and enabling the business to achieve its regulatory requirements, including consumer duty. About you Significant proven experience in leading and developing data, reporting and analytics teams in financial services or a highly regulated industry Excellent long-term planning and short-term prioritisation skills, including effective communication and ensuring delivery of priorities Experience of developing a data and analytics strategy and evidence of delivering against a prioritised roadmap A track record of delivering highly scalable and robust data architecture, and in particular working with real time or near real time data and pipelines. Experience of working with diverse data sources across customer, transactional and external data, and different cadences. Experience of working with third party data enhancement and marketing data sources such as Google Analytics is highly desirable In-depth knowledge of cloud-based data architecture, database development, and management. Previous experience with Snowflake is desirable Best practice for systems and data governance including development processes and documentationPrevious responsibility for business-critical data assets and platforms Hands-on experience and ownership of marketing automation platforms such as Salesforce Marketing Cloud, Braze, Marketo or Bloomreach is highly desirable. Proven understanding of GDPR and data governance, preferably in financial services Demonstrable experience of developing and scaling a high volume and complex reporting architecture and dashboard suite. Broad knowledge of business intelligence principles, approaches, and tools/platforms.Power BI is preferred Understanding of marketing and product performance metrics and approaches. Exposure to Google Analytics and user engagement tools and testing platforms such as Contentsquare, AppsFlyer, Optimizely is highly desirable. Experience of developing and applying robust AI-based approaches and LLMs to generate efficiencies Extensive experience of small- and large-scale analytical project approaches encompassing data mining, summarisation, and presentation of impactful and insightful results Excellent proficiency in data manipulation languages, particularly SQL, and able to write complex queries and repeatable stored procedures. Experience in low-code solutions like DBT is highly desirable Data storytelling and able to condense complex analytics into clear narratives and actions for a range of technical and non-technical stakeholders Practical experience of data science and predictive techniques such as regression modelling, cluster analysis, decision trees, etc. is desirable Strong understanding of data and systems integration and data pipelines including development approaches. Understanding of marketing and communication technologies, and modern personalised marketing principles particularly using CRM platforms and orchestration tools. Outstanding stakeholder engagement and management skills Highly effective communication skills and comfortable working with both technical and non-technical teams Proven ability to work effectively with multidisciplinary teams across technology, operations, product, and marketing. What we offer 27 days holiday, increasing with service + buy/sell scheme + bank holidays 8% Pension with matched contributions Discretionary bonus scheme Share schemes (including free shares and BAYE) Health Cash Plan and discounted private healthcare Enhanced family leave (subject to qualifying criteria) Travel and bike loan schemes Employee Assistance Programme We offer hybrid working, with a minimum of50% of your working time per monthspent in the office. This role can be based in London or Manchester. For new starters, there is an initial period of full-time office working to help you settle in and build relationships. Inclusion & diversity We're committed to creating an inclusive environment where everyone feels respected and able to be themselves at work. We welcome applications from all backgrounds and make hiring decisions based on skills, experience, and potential.
Where you'll fit in & what our team goals are You will play an integral leadership role in supporting modeling and data analysis and database needs for assigned line of business (Asset Management). You will manage or direct the creation and usage of large data sets, providing information-based decision logic and predictive modeling solutions, and translate modeling/analytic output into understandable/actionable business knowledge, insight and applications. You will also provide analytic thought leadership and support in a lead business relationship role whilst demonstrating strong technical/problem solving skills. How you'll spend your time Identify, develop and implement increasingly complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc. Engage collaboratively with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge. Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results. Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. May provide technical advice and coaching to business analysts on best practices for usage and application of analytic output. Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed. Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise business unit data governance policies and leaders. May lead or provide informal leadership to a team of analytic resources. To be successful in this role you will have Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra. Experience conducting hands on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies. Experience with statistical programming (Python, SQL are must-haves while other programming languages like SAS and R are preferred) & data visualization software in a data rich environment. Demonstrated project experience while working with AWS/Azure/Snowflake. Proven executive presence communication skills, with the ability to translate complex digital performance data into clear, actionable insights that influence prioritization and investment; ability to communicate to less technical partners. Strong experience partnering with senior leaders to drive aligned, data informed decisions and business outcomes. Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations. Ability to work effectively in a collaborative team environment. If you also had this, it would be great Experience with big data technologies, Cloud Computing Environments (including container creation, management & deployment), Spark, etc. MBA or advanced degree in analytics, economics, statistics, or related field. Experience working in regulated industries or highly matrixed, enterprise environments. Experience modernizing or scaling enterprise experimentation programs and attribution frameworks. Track record of leading analytics organizations through significant transformation or maturity shifts. About Columbia Threadneedle Investments Working at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses. We're intentionally built to help you succeed. Our reach is expansive with a global team of 2,500 people working together. Our expertise is diverse with more than 650 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Columbia Threadneedle is a people business and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to providing an inclusive workplace that supports the diversity of our employees and reflects our broader communities and client base. We appreciate that work life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter. Full-Time/Part-Time Full time Worker Sub Type Permanent Job Family Group Data
09/05/2026
Full time
Where you'll fit in & what our team goals are You will play an integral leadership role in supporting modeling and data analysis and database needs for assigned line of business (Asset Management). You will manage or direct the creation and usage of large data sets, providing information-based decision logic and predictive modeling solutions, and translate modeling/analytic output into understandable/actionable business knowledge, insight and applications. You will also provide analytic thought leadership and support in a lead business relationship role whilst demonstrating strong technical/problem solving skills. How you'll spend your time Identify, develop and implement increasingly complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc. Engage collaboratively with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge. Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results. Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. May provide technical advice and coaching to business analysts on best practices for usage and application of analytic output. Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed. Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise business unit data governance policies and leaders. May lead or provide informal leadership to a team of analytic resources. To be successful in this role you will have Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra. Experience conducting hands on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies. Experience with statistical programming (Python, SQL are must-haves while other programming languages like SAS and R are preferred) & data visualization software in a data rich environment. Demonstrated project experience while working with AWS/Azure/Snowflake. Proven executive presence communication skills, with the ability to translate complex digital performance data into clear, actionable insights that influence prioritization and investment; ability to communicate to less technical partners. Strong experience partnering with senior leaders to drive aligned, data informed decisions and business outcomes. Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations. Ability to work effectively in a collaborative team environment. If you also had this, it would be great Experience with big data technologies, Cloud Computing Environments (including container creation, management & deployment), Spark, etc. MBA or advanced degree in analytics, economics, statistics, or related field. Experience working in regulated industries or highly matrixed, enterprise environments. Experience modernizing or scaling enterprise experimentation programs and attribution frameworks. Track record of leading analytics organizations through significant transformation or maturity shifts. About Columbia Threadneedle Investments Working at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses. We're intentionally built to help you succeed. Our reach is expansive with a global team of 2,500 people working together. Our expertise is diverse with more than 650 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Columbia Threadneedle is a people business and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to providing an inclusive workplace that supports the diversity of our employees and reflects our broader communities and client base. We appreciate that work life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter. Full-Time/Part-Time Full time Worker Sub Type Permanent Job Family Group Data
# Senior Analyst Developer - AI Lead Senior Analyst Developer - AI Lead Business Area: Operations Place of Work: London Contract Type: Fixed Term Contract About the role In your role as Senior Analyst Developer - AI Lead, you will make a meaningful and valued contribution from the outset. This role will provide a great opportunity toprovide technical guidance and architectural oversight for AI Technical solutions within USS, primarily focusing on the Investment Organisation (USSIM). As a key member of the "AI Incubator" working group, the role ensures that AI initiatives align with architecture principles, governance frameworks, and strategic objectives. Acting as a bridge between innovation and operational delivery, the architect defines standards, validates designs, and supports the safe and scalable adoption of AI technologies across the business. The architect investigates, understands, and trials new AI technologies and new ways of working, enabling USS to leverage emerging capabilities effectively and responsibly.We know that sometimes people can be put off applying for a job if they don't tick every box, if you're excited about working for us and have most of the skills or experience we're looking for, then please apply, regardless of whether you meet all the requirements outlined in this profile. To be successful in the role you will have: Knowledge and exposure to AI technologies and concepts (RAG, LLMs, MCP, Vector Databases, Ollama) Expert level in the following development languages (C# / PowerShell / Python / SQL) Experience developing solutions using modern frameworks, languages and techniques Demonstrable ability to operationalise solutions ensuring operational best practice (environments, source control, DevOps, role separation etc) Ability to convey technical concepts, ideas, risks, and approaches to less technical / senior management Design and architecting solutions in a financial services company, preferably gained through experience in a buy side institution or asset owner Azure cloud data management platforms (Fabric, Snowflake) On-premises data storage applications (SQL Server, SharePoint, File servers)At USS, every individual contributes to building a secure financial future for our members and their families. We strive to create a work environment where everyone can thrive professionally while making a meaningful impact on the lives of others. We're also committed to helping you build your career by providing opportunities for development. We put a focus on recognising and supporting each individual's unique career path, driving this forward with the support of an engaged and proactive management team.Here at USS, we want you to thrive in and out of work with a friendly team, flexible culture and excellent range of benefits! How we will reward you Great starting salary Generous annual leave package Access to a high quality pension scheme provided through Universities Superannuation Scheme Supportive people policies (including enhanced occupational sickness pay and family friendly pay) Financial contributions towards your personal development to help you maintain your physical and mental wellbeing Access to a range of health and wellbeing services i.e., private healthcare, discounted gym membership Learning and development opportunities to develop your skills, knowledge and talent Employee Volunteer Day's to support the communities where you work and live Cycle to Work Scheme Our culture and values Our people are what makes us different. We work together to create a diverse and inclusive culture that embraces individuality, where people are welcomed and feel comfortable in the knowledge that they can be themselves. Our purpose firmly states the importance of members, putting them 'front and centre' of what we do. This is embedded through our values: Integrity Collaboration ExcellenceUniversities Superannuation Scheme (USS) was established in 1974 as the principal pension scheme for universities and other higher education institutions in the UK. We work with around 330 employers to help build a secure financial future for almost 577,000 members and their families. We are one of the largest private defined benefit pension schemes in the UK, with total assets of around £76.8bn (at 31 March 2025). To find out more, please visit USSIM is proud to be an equal opportunity employer. We strive to ensure our recruitment process is as flexible and inclusive as possible so we can attract diverse candidates and recruit the best talent. We want all candidates to perform at their best during the recruitment process, so if you need any reasonable adjustments or if there is anything we can do to help support you through your recruitment journey please let us know by contacting .
08/05/2026
Full time
# Senior Analyst Developer - AI Lead Senior Analyst Developer - AI Lead Business Area: Operations Place of Work: London Contract Type: Fixed Term Contract About the role In your role as Senior Analyst Developer - AI Lead, you will make a meaningful and valued contribution from the outset. This role will provide a great opportunity toprovide technical guidance and architectural oversight for AI Technical solutions within USS, primarily focusing on the Investment Organisation (USSIM). As a key member of the "AI Incubator" working group, the role ensures that AI initiatives align with architecture principles, governance frameworks, and strategic objectives. Acting as a bridge between innovation and operational delivery, the architect defines standards, validates designs, and supports the safe and scalable adoption of AI technologies across the business. The architect investigates, understands, and trials new AI technologies and new ways of working, enabling USS to leverage emerging capabilities effectively and responsibly.We know that sometimes people can be put off applying for a job if they don't tick every box, if you're excited about working for us and have most of the skills or experience we're looking for, then please apply, regardless of whether you meet all the requirements outlined in this profile. To be successful in the role you will have: Knowledge and exposure to AI technologies and concepts (RAG, LLMs, MCP, Vector Databases, Ollama) Expert level in the following development languages (C# / PowerShell / Python / SQL) Experience developing solutions using modern frameworks, languages and techniques Demonstrable ability to operationalise solutions ensuring operational best practice (environments, source control, DevOps, role separation etc) Ability to convey technical concepts, ideas, risks, and approaches to less technical / senior management Design and architecting solutions in a financial services company, preferably gained through experience in a buy side institution or asset owner Azure cloud data management platforms (Fabric, Snowflake) On-premises data storage applications (SQL Server, SharePoint, File servers)At USS, every individual contributes to building a secure financial future for our members and their families. We strive to create a work environment where everyone can thrive professionally while making a meaningful impact on the lives of others. We're also committed to helping you build your career by providing opportunities for development. We put a focus on recognising and supporting each individual's unique career path, driving this forward with the support of an engaged and proactive management team.Here at USS, we want you to thrive in and out of work with a friendly team, flexible culture and excellent range of benefits! How we will reward you Great starting salary Generous annual leave package Access to a high quality pension scheme provided through Universities Superannuation Scheme Supportive people policies (including enhanced occupational sickness pay and family friendly pay) Financial contributions towards your personal development to help you maintain your physical and mental wellbeing Access to a range of health and wellbeing services i.e., private healthcare, discounted gym membership Learning and development opportunities to develop your skills, knowledge and talent Employee Volunteer Day's to support the communities where you work and live Cycle to Work Scheme Our culture and values Our people are what makes us different. We work together to create a diverse and inclusive culture that embraces individuality, where people are welcomed and feel comfortable in the knowledge that they can be themselves. Our purpose firmly states the importance of members, putting them 'front and centre' of what we do. This is embedded through our values: Integrity Collaboration ExcellenceUniversities Superannuation Scheme (USS) was established in 1974 as the principal pension scheme for universities and other higher education institutions in the UK. We work with around 330 employers to help build a secure financial future for almost 577,000 members and their families. We are one of the largest private defined benefit pension schemes in the UK, with total assets of around £76.8bn (at 31 March 2025). To find out more, please visit USSIM is proud to be an equal opportunity employer. We strive to ensure our recruitment process is as flexible and inclusive as possible so we can attract diverse candidates and recruit the best talent. We want all candidates to perform at their best during the recruitment process, so if you need any reasonable adjustments or if there is anything we can do to help support you through your recruitment journey please let us know by contacting .
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at As at 31 December 2025 The Team The Data and AI division at Man Group is dedicated to ensuring the business can generate valuable insights from data. The division owns the sourcing, delivery and analytics of traditional and alternative data to our investment teams as well developing and supporting Man Group's central data platform. The division is also responsible for development of generative AI tooling to drive innovation and accelerate business processes. The function seeks to unlock the value in data by partnering with investment teams to source new and diversifying datasets and build scalable evaluation methods and insights on data. The core value which unifies us is a passion to utilise science, technology, and data to enhance our investment and business processes. The Role As a Senior Analyst in the Data Science team, you will acquire, wrangle, map and analyse large structured and unstructured datasets to support quantitative research and portfolio management teams in alpha generation. You will act as a subject matter expert on select projects - delivering fundamental research, exploratory analysis and actionable insights. Your responsibilities span the full data lifecycle: vendor scoping, data ingestion, exploratory analysis and pipeline prototyping. You will be expected to embrace AI development tools to accelerate delivery and drive adoption across the team. Work is delivered through self-managed projects in collaboration with investment teams and the wider Data & AI division, with the goal of providing scalable, low-touch data delivery and analysis. Role Responsibilities Collaborate with investment teams to identify data opportunities, propose creative use cases, and recommend datasets to inform investment strategies. Acquire, transform and analyse large, messy and unstructured datasets to support investment research and decision making. Research company KPIs, perform statistical tests and draft research reports to maintain an accessible knowledge base for investment teams. Contribute to the design and development of our AI powered data platform, streamlining the data scouting onboarding evaluation workflow. Build proof of concept data products and AI driven tools, collaborating with technology to productionise them. Contribute to firm wide data initiatives and stay informed on industry trends in alternative data. 4+ years of proven experience in data wrangling, time series analysis, statistical techniques and data visualisation. Proficient in the Python data science stack (Pandas, NumPy, Spark, Matplotlib) with experience leveraging AI assisted coding tools to accelerate development. Working knowledge of Snowflake, Linux/UNIX, Git, Jira. Passion for embracing agentic engineering - willingness and ability to work effectively with AI development tools as part of daily workflow. Ability to present technical results and concepts to non technical audiences. Entrepreneurial mindset with a willingness to deeply understand investment strategies and proactively push data driven solutions. Strong academic record with a degree in a STEM field. Nice to have Previous experience working with investment professionals in a fast paced environment preferred. Experience writing ETL pipelines and fluency in SQL preferred. Inclusion, Work Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long term disability coverage, group sick pay, enhanced parental leave and long service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .
08/05/2026
Full time
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at As at 31 December 2025 The Team The Data and AI division at Man Group is dedicated to ensuring the business can generate valuable insights from data. The division owns the sourcing, delivery and analytics of traditional and alternative data to our investment teams as well developing and supporting Man Group's central data platform. The division is also responsible for development of generative AI tooling to drive innovation and accelerate business processes. The function seeks to unlock the value in data by partnering with investment teams to source new and diversifying datasets and build scalable evaluation methods and insights on data. The core value which unifies us is a passion to utilise science, technology, and data to enhance our investment and business processes. The Role As a Senior Analyst in the Data Science team, you will acquire, wrangle, map and analyse large structured and unstructured datasets to support quantitative research and portfolio management teams in alpha generation. You will act as a subject matter expert on select projects - delivering fundamental research, exploratory analysis and actionable insights. Your responsibilities span the full data lifecycle: vendor scoping, data ingestion, exploratory analysis and pipeline prototyping. You will be expected to embrace AI development tools to accelerate delivery and drive adoption across the team. Work is delivered through self-managed projects in collaboration with investment teams and the wider Data & AI division, with the goal of providing scalable, low-touch data delivery and analysis. Role Responsibilities Collaborate with investment teams to identify data opportunities, propose creative use cases, and recommend datasets to inform investment strategies. Acquire, transform and analyse large, messy and unstructured datasets to support investment research and decision making. Research company KPIs, perform statistical tests and draft research reports to maintain an accessible knowledge base for investment teams. Contribute to the design and development of our AI powered data platform, streamlining the data scouting onboarding evaluation workflow. Build proof of concept data products and AI driven tools, collaborating with technology to productionise them. Contribute to firm wide data initiatives and stay informed on industry trends in alternative data. 4+ years of proven experience in data wrangling, time series analysis, statistical techniques and data visualisation. Proficient in the Python data science stack (Pandas, NumPy, Spark, Matplotlib) with experience leveraging AI assisted coding tools to accelerate development. Working knowledge of Snowflake, Linux/UNIX, Git, Jira. Passion for embracing agentic engineering - willingness and ability to work effectively with AI development tools as part of daily workflow. Ability to present technical results and concepts to non technical audiences. Entrepreneurial mindset with a willingness to deeply understand investment strategies and proactively push data driven solutions. Strong academic record with a degree in a STEM field. Nice to have Previous experience working with investment professionals in a fast paced environment preferred. Experience writing ETL pipelines and fluency in SQL preferred. Inclusion, Work Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long term disability coverage, group sick pay, enhanced parental leave and long service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .
Within 's Data Analytics Department, we're on a mission to improve the agility and quality of how we deliver data insights to the business. We're passionate about data and the business value it drives, and we're looking for a talented Senior Data Information Architect to join our Data Information Architecture team. As our Senior Data Information Architect, you'll have access to a wide range of benefits including: Hybrid working (we're in the office 3 days per week) Manager bonus Colleague discounts on Jet2holidays and flights This is a fantastic opportunity to shape processes, influence decision-making, and add your unique stamp to a team that values innovation, collaboration, and excellence. What you'll be doing: Leading the creation of conceptual data models to accelerate the production of high-quality data assets for analytical purposes. Collaborating with data engineering teams to ensure the logical and physical data models align with the overarching conceptual framework. Managing and facilitating the Data Model Governance Process, governing and approving data models for use on our Snowflake analytics platform. Partnering with the Data Governance team to maintain alignment between the data models and business objectives. Consulting with and challenging business stakeholders, including data analysts, data owners, and stewards, to ensure the data model reflects the business's best interests. Selecting, evaluating, and championing tools to support data modelling activities, ensuring the right solutions are in place for efficiency and quality. Contributing to Jet2's commitment to delivering business value through data by refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What you'll have: Extensive experience in data modelling, with a strong focus on conceptual, logical, and physical models. A deep understanding of how to optimise data models to improve business outcomes. Strong collaboration skills, with experience working alongside data engineering teams and business stakeholders. A solid understanding of data governance and the importance of aligning data models with business priorities. Experience with tools like Snowflake, Alation, or equivalent platforms, and an ability to select and implement effective data modelling tools. Excellent communication and leadership skills, with the ability to consult with and challenge stakeholders effectively. If you're ready to bring your expertise to a growing team that's passionate about driving value through data, we'd love to hear from you.
03/05/2026
Full time
Within 's Data Analytics Department, we're on a mission to improve the agility and quality of how we deliver data insights to the business. We're passionate about data and the business value it drives, and we're looking for a talented Senior Data Information Architect to join our Data Information Architecture team. As our Senior Data Information Architect, you'll have access to a wide range of benefits including: Hybrid working (we're in the office 3 days per week) Manager bonus Colleague discounts on Jet2holidays and flights This is a fantastic opportunity to shape processes, influence decision-making, and add your unique stamp to a team that values innovation, collaboration, and excellence. What you'll be doing: Leading the creation of conceptual data models to accelerate the production of high-quality data assets for analytical purposes. Collaborating with data engineering teams to ensure the logical and physical data models align with the overarching conceptual framework. Managing and facilitating the Data Model Governance Process, governing and approving data models for use on our Snowflake analytics platform. Partnering with the Data Governance team to maintain alignment between the data models and business objectives. Consulting with and challenging business stakeholders, including data analysts, data owners, and stewards, to ensure the data model reflects the business's best interests. Selecting, evaluating, and championing tools to support data modelling activities, ensuring the right solutions are in place for efficiency and quality. Contributing to Jet2's commitment to delivering business value through data by refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What you'll have: Extensive experience in data modelling, with a strong focus on conceptual, logical, and physical models. A deep understanding of how to optimise data models to improve business outcomes. Strong collaboration skills, with experience working alongside data engineering teams and business stakeholders. A solid understanding of data governance and the importance of aligning data models with business priorities. Experience with tools like Snowflake, Alation, or equivalent platforms, and an ability to select and implement effective data modelling tools. Excellent communication and leadership skills, with the ability to consult with and challenge stakeholders effectively. If you're ready to bring your expertise to a growing team that's passionate about driving value through data, we'd love to hear from you.
Locations: Boston London Atlanta 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. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Join the Data Layer Team, a global portfolio transforming our organization into a data-driven enterprise! The Data Layer Team is a portfolio of 30 people who build essential data platforms, products, and capabilities to empower our clients and colleagues with high-quality, actionable insights. Our focus is on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company. As Use Case Enablement Product Analyst within BCG's Data Layer Team, you will collaborate with Use Case Enablement Product Owner and cross-functional teams to gather and analyze business and data requirements. Your role is critical to bridging the gap between business stakeholders and technical teams, ensuring that new GenAI use cases are well-scoped, feasible, and aligned with user needs. You will work with various Gen AI use cases and applications, including: Consultant Journey - internal GenAI assistants that changes the way consultants work to provide value to our clients. Practice Area GenAI applications - developed by functional practice areas to support various capabilities (e.g., outside-in rapid cost diagnostics or Accelerated Cost Analysis). Data catalog - a centralized library that provides consulting teams with access to critical tools and data assets across BCG These tools require ingestion of multiple data sources, and your role will be to support the selection of eligible datasets and identify the best sources for each GenAI use case. You will ensure that these use cases and applications are equipped with the necessary data pipelines to maximize their impact on business and users. You will play a key role in use case discovery and requirements refinement, while also managing the continuous maintenance and enhancement of data asset quality, accuracy, and stability to support evolving use cases. Detailed responsibilities include: Deliver business results and customer value Support the development of GenAI-enabled data products by helping translate business needs into actionable data requirements Help to define requirements for user stories and structure the backlog with a focus on measurable outcomes Help shape GenAI-enabled use cases that contribute to real business impact, through thoughtful prioritization and attention to detail Participate in evaluating use case success metrics and learn from what works (and what doesn't) Serve as the voice of customer or end-user Translate business needs into user stories, engaging end users for continuous feedback Engaging in continuous data discovery exercises to understand most valuable data assets that satisfy customer needs Balance customer value, technical feasibility, and business impact when making prioritization decisions Work with product teams to integrate GenAI-enhanced offerings into BCG systems and workflows Deliver high-quality outcomes Collaborate with engineers, architects, and product teammates to test and validate data pipelines - ensuring solutions are robust, accurate, and useful Contribute to documentation that helps others understand the "why" and "how" behind what's been built, supporting long-term scalability and reuse Work with stakeholders across BCG (e.g., Practice Areas, Knowledge Teams) to ensure data products are grounded in real needs and enable meaningful use Share observations, risks, or open questions early-your input helps the team avoid missteps and refine solutions before they reach users YOU'RE GOOD AT Being user-focused - Deeply understanding and translating business needs into GenAI-enabled solutions, ensuring offerings address real user challenges Communicating with transparency - Clearly and openly engaging with stakeholders at all levels, ensuring alignment, visibility, and trust across teams Bringing a data-driven approach to decision-making - Leveraging qualitative and quantitative insights to prioritize initiatives, measure impact, and refine solutions Facilitating data discovery sessions - Engaging business stakeholders to capture business context, user intent, and data solution objectives Breaking down complex challenges - Applying critical reasoning and creative problem-solving to analyze problem statements and design effective, scalable solutions Collaborating with product and technical teams - Working closely with POs, engineers, and data stewards to ensure solutions meet expectations and constraints Collaborating with development teams - Ensuring prioritized data sources align with GenAI solution requirements, business objectives, and technical feasibility Defining and tracking KPIs - Establishing measurable success metrics to drive squad performance and ensure data products align with OKRs Documenting thoughtfully - Creating simple, clear artifacts (e.g., data definitions, flow diagrams, test plans) that others can build from Contributing to continuous improvement - Bringing curiosity and a mindset of learning, always looking for ways to improve how the team works or deliver What You'll Bring 4-6+ years of experience in a product analyst, business analyst, or data analyst role -ideally supporting data or AI-related projects Project management skills, with ability to build project plans, track progress, drive alignment and manage risks Proven experience in AI, GenAI, or data product development, preferably with a focus on GenAI powered user-facing applications Experience in enterprise software development, data engineering, or AI-driven transformation initiatives Experience working with structured and unstructured data, and familiarity with modern data platforms (e.g., Snowflake, AWS, SharePoint) A working knowledge of agile ways of working, and openness to learning through iteration and feedback Understanding of enterprise data governance, AI model integration, and scalable data architecture Familiarity with AI/ML technologies, including GenAI models (e.g., OpenAI GPT, RAG, fine-tuning models, or machine learning frameworks) Good communication skills, especially when collaborating across different functions or surfacing potential risks or questions Familiarity with tools like JIRA, Confluence, Excel, or lightweight data catalog platforms is a plus Experience in a consulting or client-service environment is helpful, but not required Who You'll Work With BCG Global Consulting Practice Areas (Functional & Industry) and Data Teams - Partnering with business leaders to transform prioritized offerings into GenAI-enabled solutions, collaborating with teams such as the Data Product Portfolio, Data Governance CoE, Master Data Management, Enterprise Architecture, and Data Product Development Data Layer Offer Enablement Product Owner Lead (PO) - Aligning on strategic priorities, roadmap development, and execution Data Layer Offer Enablement Team - Collaborating amongst Data Product Analyst, and working alongside data engineers, lead architects, data stewards, and QA engineers Data Layer Data Governance Team - Partnering to ensure that data assets meet quality, metadata, and compliance standards, and are appropriately catalogued for reuse Product Teams - Collaborating with BCG's product team members to integrate required data sources into GenAI-enhanced offerings Agile Coaches - Embedding agile principles into daily work, leveraging coaching support to drive an iterative and user-focused approach to GenAI use case development Data Product Consumers (Internal Customers) - Translating their voice and needs into user stories, ensuring their requirements are reflected in the backlog, and actively engaging them for feedback and validation Additional info In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $102,000.00 - $137,333.33 This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 12% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. . click apply for full job details
01/10/2025
Full time
Locations: Boston London Atlanta 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. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Join the Data Layer Team, a global portfolio transforming our organization into a data-driven enterprise! The Data Layer Team is a portfolio of 30 people who build essential data platforms, products, and capabilities to empower our clients and colleagues with high-quality, actionable insights. Our focus is on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company. As Use Case Enablement Product Analyst within BCG's Data Layer Team, you will collaborate with Use Case Enablement Product Owner and cross-functional teams to gather and analyze business and data requirements. Your role is critical to bridging the gap between business stakeholders and technical teams, ensuring that new GenAI use cases are well-scoped, feasible, and aligned with user needs. You will work with various Gen AI use cases and applications, including: Consultant Journey - internal GenAI assistants that changes the way consultants work to provide value to our clients. Practice Area GenAI applications - developed by functional practice areas to support various capabilities (e.g., outside-in rapid cost diagnostics or Accelerated Cost Analysis). Data catalog - a centralized library that provides consulting teams with access to critical tools and data assets across BCG These tools require ingestion of multiple data sources, and your role will be to support the selection of eligible datasets and identify the best sources for each GenAI use case. You will ensure that these use cases and applications are equipped with the necessary data pipelines to maximize their impact on business and users. You will play a key role in use case discovery and requirements refinement, while also managing the continuous maintenance and enhancement of data asset quality, accuracy, and stability to support evolving use cases. Detailed responsibilities include: Deliver business results and customer value Support the development of GenAI-enabled data products by helping translate business needs into actionable data requirements Help to define requirements for user stories and structure the backlog with a focus on measurable outcomes Help shape GenAI-enabled use cases that contribute to real business impact, through thoughtful prioritization and attention to detail Participate in evaluating use case success metrics and learn from what works (and what doesn't) Serve as the voice of customer or end-user Translate business needs into user stories, engaging end users for continuous feedback Engaging in continuous data discovery exercises to understand most valuable data assets that satisfy customer needs Balance customer value, technical feasibility, and business impact when making prioritization decisions Work with product teams to integrate GenAI-enhanced offerings into BCG systems and workflows Deliver high-quality outcomes Collaborate with engineers, architects, and product teammates to test and validate data pipelines - ensuring solutions are robust, accurate, and useful Contribute to documentation that helps others understand the "why" and "how" behind what's been built, supporting long-term scalability and reuse Work with stakeholders across BCG (e.g., Practice Areas, Knowledge Teams) to ensure data products are grounded in real needs and enable meaningful use Share observations, risks, or open questions early-your input helps the team avoid missteps and refine solutions before they reach users YOU'RE GOOD AT Being user-focused - Deeply understanding and translating business needs into GenAI-enabled solutions, ensuring offerings address real user challenges Communicating with transparency - Clearly and openly engaging with stakeholders at all levels, ensuring alignment, visibility, and trust across teams Bringing a data-driven approach to decision-making - Leveraging qualitative and quantitative insights to prioritize initiatives, measure impact, and refine solutions Facilitating data discovery sessions - Engaging business stakeholders to capture business context, user intent, and data solution objectives Breaking down complex challenges - Applying critical reasoning and creative problem-solving to analyze problem statements and design effective, scalable solutions Collaborating with product and technical teams - Working closely with POs, engineers, and data stewards to ensure solutions meet expectations and constraints Collaborating with development teams - Ensuring prioritized data sources align with GenAI solution requirements, business objectives, and technical feasibility Defining and tracking KPIs - Establishing measurable success metrics to drive squad performance and ensure data products align with OKRs Documenting thoughtfully - Creating simple, clear artifacts (e.g., data definitions, flow diagrams, test plans) that others can build from Contributing to continuous improvement - Bringing curiosity and a mindset of learning, always looking for ways to improve how the team works or deliver What You'll Bring 4-6+ years of experience in a product analyst, business analyst, or data analyst role -ideally supporting data or AI-related projects Project management skills, with ability to build project plans, track progress, drive alignment and manage risks Proven experience in AI, GenAI, or data product development, preferably with a focus on GenAI powered user-facing applications Experience in enterprise software development, data engineering, or AI-driven transformation initiatives Experience working with structured and unstructured data, and familiarity with modern data platforms (e.g., Snowflake, AWS, SharePoint) A working knowledge of agile ways of working, and openness to learning through iteration and feedback Understanding of enterprise data governance, AI model integration, and scalable data architecture Familiarity with AI/ML technologies, including GenAI models (e.g., OpenAI GPT, RAG, fine-tuning models, or machine learning frameworks) Good communication skills, especially when collaborating across different functions or surfacing potential risks or questions Familiarity with tools like JIRA, Confluence, Excel, or lightweight data catalog platforms is a plus Experience in a consulting or client-service environment is helpful, but not required Who You'll Work With BCG Global Consulting Practice Areas (Functional & Industry) and Data Teams - Partnering with business leaders to transform prioritized offerings into GenAI-enabled solutions, collaborating with teams such as the Data Product Portfolio, Data Governance CoE, Master Data Management, Enterprise Architecture, and Data Product Development Data Layer Offer Enablement Product Owner Lead (PO) - Aligning on strategic priorities, roadmap development, and execution Data Layer Offer Enablement Team - Collaborating amongst Data Product Analyst, and working alongside data engineers, lead architects, data stewards, and QA engineers Data Layer Data Governance Team - Partnering to ensure that data assets meet quality, metadata, and compliance standards, and are appropriately catalogued for reuse Product Teams - Collaborating with BCG's product team members to integrate required data sources into GenAI-enhanced offerings Agile Coaches - Embedding agile principles into daily work, leveraging coaching support to drive an iterative and user-focused approach to GenAI use case development Data Product Consumers (Internal Customers) - Translating their voice and needs into user stories, ensuring their requirements are reflected in the backlog, and actively engaging them for feedback and validation Additional info In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $102,000.00 - $137,333.33 This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 12% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. . click apply for full job details
