Top Analyst Jobs in London

Join a hedge fund Compliance Control Room to manage restriction lists, monitor position limits, support MNPI and information barrier controls, field business queries, document and refine controls, gather requirements, and lead data and process improvement initiatives alongside technology teams.

Perform daily trade surveillance across asset classes: monitor and triage alerts, investigate market abuse and insider trading, refine scenarios and thresholds, support data transformation and automation projects, collaborate with technology on data feeds and UAT, and handle regulatory/audit requests while driving process and data-quality improvements.

Support product and change delivery by eliciting and documenting functional and non-functional requirements, conducting process and systems analysis, running workshops, coordinating UAT, configuring and testing releases, creating user documentation, and monitoring production performance to deliver business-aligned solutions.

Lead delivery and oversight of investment performance, attribution, valuation and regulatory reporting. Review data, reconciliations and controls; act as senior technical contact; prepare analysis for committees; partner with managers, custodians, auditors and vendors; support Aladdin and reporting transformation projects; investigate complex valuation and data issues and support internal/external audits.

Support corporate strategy, investor relations and communications by conducting market and competitor research, producing presentations and memos, performing financial and data analysis, managing strategic projects, preparing external investor materials, and coordinating cross-functional communications.

Provide technical pricing support for a Marine insurance portfolio: develop, validate and deploy pricing models, support case pricing and renewals, monitor portfolio performance, deliver pricing insights and liaise with underwriting and other actuarial teams.

Provide responsive customer support for IDBS life-sciences software via email, web and community channels; perform initial troubleshooting, escalate complex cases, document solutions in the knowledge base, collaborate with cross-functional teams, learn ITIL-based processes, work rotating shifts (8:00–21:00 GMT) from the Woking office, and drive continuous improvement.

Lead and sell analytics consultancy projects for Maiven Intelligence, combining mixed-methods, digital and social analytics, audience segmentation, LLM and GEO analysis to produce actionable reputation and communications insights. Manage end-to-end delivery, client relationships, proposal development, and scale data/AI-informed products while mentoring junior analysts and supporting new-business growth.

Support Traded Risk Management by delivering high-quality market data solutions: develop derived market data and proxy models, analyse large datasets, coordinate market data requirements and delivery, validate daily market data, liaise with stakeholders across Risk, Trading, Model Validation and IT, and support regulatory and strategic data programmes.

Provide day-to-day platform support in an AWS cloud environment: investigate and resolve incidents, automate support tasks, maintain operational documentation, liaise with teams and third parties, support deployments and validate fixes, and improve platform reliability and processes.

Support Senior Investor Relations Managers in client engagement and portfolio management. Conduct client and market research, prepare reports, financial analyses and presentations, assist private equity fundraising, improve processes, collaborate with internal teams, handle client objections, and gradually take ownership of investor relationships.

Own content performance analysis for Racing Post, turning audience and subscription data into actionable editorial and subscription-growth decisions. Build user-level engagement and cohort analyses, design and test hypotheses, develop self-serve reporting, automate insights with AI, safeguard metric quality, and coach editors to use data to inform content and retention strategy.

Deliver regular reporting, dashboards and ad hoc analysis for Racing and Sports stakeholders. Provide cover and overflow support for the Lead Data Scientist, assist with model testing and production tasks (SiQ platform, Python scripts), and maintain data roadmap dashboards while collaborating with technical and non-technical stakeholders.

Support data governance by working with business and IT to document data flows, classify personal data for regulatory records, identify critical business terms, define data quality rules, appoint data owners/stewards, assess controls and risks, and produce reports from the data governance tool.

Partner with stakeholders to gather requirements and deliver Power BI reports, data models, and ETL pipelines. Build and maintain SQL/SSIS-based data pipelines, ensure data quality, automate reporting, and present actionable insights to improve Customer Service and Operations performance across EMEA.

Configure synthetic populations and onboard customer datasets, validate synthetic methodologies, lead technical client engagements, train and scale product adoption, translate insights for executives, and feed customer feedback into product priorities.

Work with Risk Management to gather requirements and develop/enhance risk systems. Build data analysis processes, valuations, and custom measures; create dashboards and reports; integrate systems with trading and middle-office; manage reference data; document processes, implement source control and deployment best practices, and evaluate new technologies.

Act as the sole Business Analyst on high-priority software projects: own end-to-end requirements, run workshops, produce FRS and user stories, lead testing/UAT, coordinate stakeholders, support project planning and governance, and assist PM communications and rollout readiness.

Drive operational excellence for customer payments: troubleshoot root causes, manage large corporate payment projects, improve processes, ensure accurate/compliant transactions, track KPIs, mentor team members, handle complaints, and coordinate cross-functional resolutions to maintain high customer satisfaction.

Support the Corporate Responsibility team by collecting, quality-assuring, analysing and reporting ESG data. Build dashboards, support data collection system testing, assist stakeholder workshops, draft governance reports, identify trends and improvement opportunities, and follow quality assurance processes while completing a Level 4 Data Analyst apprenticeship.

Provide first-line production support and customer-facing application operations, monitor services, assist client onboarding, support QA testing cycles, handle incidents to resolution, maintain documentation/knowledge base, and contribute to service and business improvements.

Build and maintain pricing, risk, portfolio construction and analytic tools for derivatives and derivative strategies. Model risks across fixed income and other assets, support portfolio managers with analysis, participate in IT and process projects, and ensure instruments are priced and reported in line with market conventions.

Analyze and investigate service data to produce actionable insights and statutory returns for Childrens Services. Advise senior management and stakeholders on performance, service needs, and improvement opportunities, ensuring timely, accurate data to support quality decision-making.

Provide technical integration support to onboard clients onto the tracking network: troubleshoot setups, liaise between marketing and technical teams, report bugs, review team work, maintain knowledge base, train colleagues, and test new features to ensure timely campaign delivery.

Work with stakeholders to build data products, dashboards and models that inform commercial decisions. Analyse complex datasets (rental income, costs, market data), create reusable data models, measure adoption/KPIs, and communicate insights to technical and non-technical audiences while collaborating with data engineers and governance teams.