2,376 to 2,400 of 5,810 Analytics Jobs in London

+ Benefits Looking to work with one of the most interesting consumer datasets in the market? This is an opportunity to join an innovative analytics business that sits at the intersection of consumer behaviour, marketing effectiveness, data science and AI. You'll have the chance to work with complex, multi … problem-solving skills Comfortable working independently and taking ownership of projects Strong academic background Experience with data visualisation tools is beneficial Exposure to marketing analytics, customer insights, media analytics or consumer behaviour data is advantageous Familiarity with LLM tools such as ChatGPT and prompt-based analysis is desirable What They ...

team based out of central Victoria. In this role, you will play a pivotal role in building core data capabilities, automating insights, and tackling analytics gaps across non-US global markets. This is an opportunity to join a forward-thinking team that is actively embedding AI into its core workflows. … extraction, transformation, and pipeline development. Strong proficiency with modern dashboarding/visualization tools (e.g., Tableau, Qlik). Knowledge of Python or R for advanced analytics and automation is highly desirable. Familiarity with cloud/big data platforms (Snowflake, Databricks, Spark) is preferred. Key Requirements Minimum 5+ years of hands ...

data transformation programme. You'll play a key role in shaping a modern Data Lakehouse environment, driving best practice in data modelling, governance, and analytics while working closely with senior stakeholders across the business. The Company This organisation is a well-established UK professional services business that is investing heavily … modernised its infrastructure and implemented an Azure Data Lakehouse platform, they are now focused on improving data visibility, strengthening governance, and enabling more advanced analytics across the business. The Role You will lead data architecture and modelling across a modern cloud platform, ensuring data is structured, governed, and accessible ...

wellbeing of our people through world-class benefits. ROLE OVERVIEWPM Engagement coaches equity Portfolio Managers with a specific focus on portfolio construction, provides analytics and insights into their portfolio and process, and helps them grow their business to be successful/profitable at BAM. The team works with teams across … fundamental long/short equity, index arbitrage, and merger arbitrage strategies. The team is involved in research on topics including equity portfolio analytics, factor/factor model research, and analysis of best practices in the portfolio construction/investment process. The Senior Quantitative Researcher, PM Engagement, is responsible for working ...

Monzo Data is at the heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business. Our Data Scientists are embedded within product and business … areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science Manager , you'll lead a team of Data Scientists and other Data professionals within ...

standards across code quality, testing and deployment Lead and support engineers, contractors and external development partners Help evolve Agile X towards data visualisation, predictive analytics, automation and AI-assisted operational decision-making Requirements Experienced Senior or Lead Full Stack Engineer with strong backend and frontend capability Highly experienced with Node.js … trade-offs to non-technical stakeholders Commercially minded and interested in using technology to solve genuine operational problems Curious about data, automation, predictive analytics and AI-assisted decision-making Comfortable working in a fast-moving environment where the platform and business continue to evolve Minimum 3 days in the office ...

exciting opportunity for a Data Scientist with around 2- 4 years of experience to work on cutting-edge projects across Generative AI, customer analytics, personalisation, and digital transformation. You'll help leading brands unlock the value of their customer data, delivering AI and data science solutions that drive better customer … projects across the full data science lifecycle- from problem definition and solution design through to model development, deployment, testing, and business adoption ✔ Applying advanced analytics to customer behaviour, personalisation, marketing performance, and digital journey optimisation ✔ Building predictive, classification, forecasting, and recommendation models that drive commercial decision-making ✔ Collaborating with multidisciplinary ...

team at DoorDash builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership … DoorDash, Deliveroo and Wolt. You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. If you're energized ...

real business impact for our multi-billion-dollar global business. What you’ll do Lead the design, development, and evolution of a production C++ analytics library used across the our macro business Build and maintain pricing, calibration, curve construction, scenario, valuation, and risk analytics for macro products and related derivatives … Extend the existing C++ analytics library and deliver major new components that improve architecture, performance, consistency, and long-term extensibility Translate quantitative models and analytical requirements into robust, high-performance, and maintainable C++ library components Partner with quantitative researchers, traders, risk users, and technology partners to understand requirements and deliver ...

Senior Quantitative Specialist - Football Location: London (Onsite) Salary: £80,000£120,000 Type: Full-time, Permanent My client, a fast-growing technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex … software engineers Requirements Commercial experience using Python, R, or similar programming languages Experience developing football models within industry environments Strong statistical modelling and data analytics skills Degree in Mathematics, Statistics, Computer Science, Engineering, or similar quantitative discipline Excellent analytical and problem-solving ability Strong communication and collaboration skills Whats ...

Data and AI priorities become real delivery, with outcomes we can measure. You will orchestrate complex initiatives spanning Data Engineering, Data Science, Analytics, AI and Data Product, bringing clarity to priorities, dependencies, risks and value. This is not traditional project management. You will combine strong execution discipline with enough understanding … strategic Data and AI programmes and initiatives. Turn strategic roadmaps into clear plans, priorities and measurable outcomes. Coordinate dependencies across Engineering, Data Science, Analytics, Product, Architecture and Technology. Bring transparency to scope, milestones, risks, issues and decisions. Remove blockers and create the conditions for multidisciplinary teams to do their best ...

mathematical, statistical, and machine learning models to optimize revenue and profitability for stock borrow-loan, cash, and synthetic financing books, as well as predictive analytics to forecast borrow rates, product demand, and other key business drivers. Apply operations research and optimization techniques to automate and enhance traders' decision-making … business Collaborate with trading, technology, and risk teams to deliver quantitative tools and solutions. Build and maintain robust infrastructure for model deployment and analytics delivery. Ensure models and analytics meet rigorous control and risk management standards. Continuously improve existing models and methodologies in response to evolving business needs. Communicate complex ...

RoleThe Data Operations team is seeking a data expert responsible for ensuring that vendor and internal investment data used across Fidelity's investment processes, analytics platforms, and decision-making workflows are delivered consistently, accurately, and on a timely basis. The Data Operations team are the stewards of data … quality issues with internal and external partners, and develop automated controls to ensure high-quality data for investment decision-making. Experience working with risk analytics datasets from leading vendors such as Barra, Axioma, Northfield, and Bloomberg, along with a basic understanding of market risk models and portfolio risk management concepts ...

helping one of the world’s great financial institutions recruit a Data & Analytics Consultant - to help develop scorecards. Consultants are responsible for providing external clients with analytical support and project analysis. This includes answering client queries related to data characteristics, scores and also involvement in analytical projects, for example, credit … strategy development, model development and other bespoke analytics to solve client specific problems. The role involves using data mining tools and programming languages such as (SQL and Python) to prepare data for analysis and business decision making and also involves delivering analytical and commercial solutions for internal and external clients. ...

most business-critical engineering groups in the firm – focused on designing and scaling cutting-edge risk systems that power real-time and historical analytics for PMs, risk officers, and senior leadership. As part of this team, you’ll be building foundational components to support stress testing, equity factor models … risk decomposition, and analytics tooling. You’ll also contribute to scaling the firm’s large-scale data systems and driving modernization efforts across risk technology. You'll work in a highly technical environment using Python and have the opportunity to contribute to high-performance architecture, cloud-based data platforms ...

initiatives. Develop business cases, track benefits realisation and report value delivery. Drive adoption of digital products and embed new ways of working. Leverage data, analytics and AI to improve operational decision making. Required Experience Proven experience leading product portfolios, transformation programmes or digital initiatives. Strong stakeholder management, including Director … scale operations. Track record leading cross-functional teams and delivering measurable business outcomes. Strong commercial, strategic and problem-solving skills. Exposure to data, optimisation, analytics and AI-led products. Ideal Background Senior Product Manager/Product Lead Portfolio or Transformation Lead Strategy Consultant who has moved into industry Digital Operations ...

delivery (CI/CD) Make data-guided decisions affecting core business metrics and processes Apply platform and reliability engineering practices, including observability, performance optimisation, analytics, and security best practices Facilitate collaboration between teams and promote continuous improvement Mentor junior engineers on engineering practices, coding standards, and troubleshooting Contribute … Continuous Integration and Delivery (CI/CD) Infrastructure-as-Code Hard Skills Application Development Performance Optimisation Automation Development Containerisation Development Methodologies Design Patterns Observability Analytics Security Best Practices Troubleshooting Soft Skills Mentoring Collaboration Continuous Improvement Industry Keywords Public-Facing Systems Internal Insurance Systems Tools & Technologies AWS Lambda DynamoDB Azure Cloudflare ...

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform … quantitative background and experience, this may be just the team for you. Job responsibilities Work with business leads to develop AI/ML-driven analytics and automation that support their business goals. Build up a scalable data architecture to handle the large volume of transaction data. Automate existing manual processes ...

join our Credit Trading Quant team, which works in the front office, delivering technological solutions for Credit Trading into production. The team owns the analytics and e-trading roadmap for credit trading in partnership with desk heads, with accountability for prioritisation, delivery, and realised business impact. We develop the foundational … platform and analytics that enable performant e-trading for credit flow. We research systematic trading ideas that predict the future of financial markets, applying scientific techniques to find patterns in large, noisy and rapidly changing real-world data sets. We develop and deploy those ideas into production to positively impact ...

produce and deliver medicines to patients in markets around the world. The Senior Director will lead a global team across SAP DevOps, Reporting & Analytics, Security, Testing, Validation, Architecture, and platform operations, leveraging strong relationships with key outsourced partners. As a senior technology leader within ES&BP, this role sits … release management Oversee environment strategy, landscape management, refreshes, and lifecycle planning Drive automation and discipline to improve delivery velocity and reliability SAP Reporting & Analytics Own SAP Reporting & Analytics across SAP Analytics Cloud (SAC), embedded analytics, and SAP-enabled reporting solutions Ensure reporting aligns with enterprise data and analytics standards Partner ...

gathering and preparing data for catastrophe analyses, by reviewing exposure data for accuracy, validity, and identifying abnormalities. The candidate will perform catastrophe risk analytics necessary for reinsurance evaluation under the guidance of senior team members. The position requires a self-starter who manages moderately complex analyses in partnership with internal … prepare data and interpreting insurance terms to catastrophe model. Incorporate data into spatial visualization tools to assist in monitoring aggregations and profitability analytics suited to company underwriting objectives and corporate portfolio objectives. Assist senior team members in preparing and formatting summaries, presentations, and reports into clear, concise deliverables of potential ...

highly consultative Senior Data Analyst/Business Data Analyst with Azure data platform expertise. You will work with business stakeholders to translate requirements into analytics solutions and dashboards. The role is hands-on, performing rapid data investigations, building proof-of-concept analyses, and bridging business needs with technical data solutions ...

security across complex datasets. Eligibility for UK Security Clearance is required. You will collaborate with stakeholders and contribute to data warehouse, lakehouse and analytics #J-18808-Ljbffr ...

work alongside the Senior Product Manager to help shape and deliver product enhancements that support researchers and scholarly communities. You will collaborate with engineering, analytics, operations, and content teams to turn user and business needs into clear product requirements, helping deliver meaningful improvements through data-informed decision making. Responsibilities Write … ensuring stories are sprint-ready and clearly defined Work with stakeholders across development, operations, and content teams to gather, clarify, and document requirements Produce analytics reports and interpret outputs, including insights generated through AI-supported tools Maintain backlog hygiene through grooming, sequencing, labelling, and prioritisation activities Run or support Sprint ...

continuous improvement Partnering closely with HR, Reward, Payroll and Finance stakeholders Requirements: Strong experience with HRIS (Workday), HR Systems and processes, HR data analytics Strong hands-on experience designing and configuring Workday business processes, security and calculated fields Proven ability to build custom reports (beyond running existing ones) Solid understanding … data analysis skills Experience of system testing and change management Strong stakeholder management and communication skills Experience with Workday Compensation, Advanced Reporting, Prism Analytics or Extend Exposure to payroll and reward processes Previous involvement in HR system implementations or transformation programmes #J-18808-Ljbffr ...