Top Analyst Jobs in London

Supports global risk-based internal audit engagements from planning through reporting, evaluates control design and effectiveness, identifies risks and control gaps, prepares audit reports, communicates findings to management, and coordinates remediation plans. The role also contributes to audit operations, data analytics, automation, emerging technology adoption, and continuous improvement of internal audit practices while maintaining compliance with IIA standards and ethics.

Conduct due diligence and complex intelligence-led investigations using all-source methods. Research and analyze sensitive information, datasets, and OSINT; produce intelligence reports; maintain intelligence holdings; support HUMINT source development; and collaborate with internal and external stakeholders on sports integrity, fraud, corruption, doping, and misconduct threats.

Conducts all-source intelligence investigations supporting intellectual property protection, enforcement, and revenue recovery across Europe and North America. The role researches unauthorized data use, piracy, and infringement using OSINT, cyber, and commercial sources; develops intelligence holdings; monitors emerging threats; and produces actionable reports, assessments, and briefings. The analyst also supports enforcement initiatives, stakeholder decision-making, and training on sports integrity.

Senior Analyst supporting Lazard’s Technology M&A team by building and reviewing financial models, conducting valuation and transaction analysis, preparing client presentations, assisting with due diligence and execution, and developing client relationships. The role requires strong accounting, analytical, communication, regulatory, and project-management skills, along with the ability to manage junior bankers and deliver accurate work in a high-pressure investment banking environment.

Build and maintain investment data solutions, quantitative models, performance attribution systems, dashboards, and reporting workflows. Validate data quality, automate analytical processes, support backtesting and scenario analysis, apply model governance, and collaborate with investment, technology, and risk teams. The role also evaluates emerging technologies, including artificial intelligence and machine learning, to improve investment research and decision-making.

Owns business analysis from discovery through delivery, including stakeholder engagement, requirements, user stories, acceptance criteria, process flows, backlog readiness, workshops, testing, and outcome validation. The role improves processes through AI and automation, evaluates opportunities responsibly, and supports product, business, and technology teams working with complex data and pricing platforms.

Lead enterprise risk management across Apollo and its managed syndicates. Responsibilities include maintaining risk frameworks, assessments, registers, controls, governance, reporting, stress testing, scenario analysis, and capital model validation. The role partners with underwriting, finance, operations, and executives to identify emerging risks, conduct thematic reviews, ensure regulatory alignment, and develop mitigation strategies. It also requires presenting insights to senior stakeholders and strengthening organizational risk culture.

Develop credit risk strategies that balance customer growth with portfolio risk. Build reporting and analytics, identify trends and emerging risks, evaluate data sources, improve credit decisioning, and present actionable insights. Collaborate with sales, data science, product, technology, engineering, and operations teams to support new propositions and customer segments.

Build and maintain investment data solutions, quantitative models, performance attribution systems, dashboards, and automated reporting workflows. Partner with investment, technology, and risk teams to support portfolio construction, research, manager selection, and investment oversight. Responsibilities include validating data, improving data quality, applying model governance, conducting quantitative analysis, and evaluating emerging technologies such as artificial intelligence and machine learning.

Supports securities operations transformation through AI and automation initiatives. Analyzes settlement, asset servicing, corporate actions, and cash management workflows; manages PSET and SSI requirements; documents processes and business requirements; supports vendor evaluations, platform upgrades, SIT/UAT, risk assessments, controls, and operational readiness. The role focuses on reducing settlement exceptions, improving SSI data quality, enhancing operational controls, and delivering measurable efficiency improvements.

Conducts all-source intelligence investigations into unauthorized data use, piracy, intellectual property infringement, and revenue recovery across Europe and North America. Collects and evaluates OSINT, cyber, commercial, HUMINT, and CYBINT/DNINT sources; maintains intelligence holdings; monitors threats; and produces reports, assessments, briefings, and actionable recommendations supporting enforcement and commercial decisions.

Conducts due diligence and complex intelligence-led investigations using all-source research, OSINT, sensitive datasets, and investigative analysis. Produces intelligence reports, maintains intelligence holdings, supports HUMINT source management, and collaborates with internal and external stakeholders on sports integrity threats including corruption, doping, abuse, misconduct, and fraud.

Supports Business Banking through data management, governance, analytics, strategy, and solution design. Builds automated, controlled, and auditable data processes; analyzes and interprets complex data; develops insights to improve strategy and personalization; manages critical data risks and issues; and explores responsible AI adoption. The role also requires collaboration with technical and non-technical stakeholders across the organization.

Deliver project, programme, and portfolio risk management services for energy, infrastructure, and renewable projects. Identify, assess, monitor, report, and mitigate cost, schedule, commercial, and business risks. Develop and interpret quantitative risk analyses using cost-loaded schedules and risk tools, advise on contingency and commercial decisions, support governance, improve risk processes and data quality, and mentor junior colleagues in senior-level roles.

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.

Leads QA delivery across a complex public-sector digital project, coordinating functional, integration, regression, performance, OAT, and non-functional testing. Develops test strategies and governance, manages risks, defects, environments, data, reporting, and quality metrics, and supports go/no-go decisions. Partners with technical and business stakeholders, mentors QA staff, ensures traceability and standards compliance, and drives continuous improvement across Agile delivery workstreams.

Supports pricing of portfolio insurance deals across the lifecycle by preparing data, running models, reviewing outputs, evaluating deal structures, and identifying sensitivities. Performs portfolio monitoring, maintains benchmarks and metrics, develops pricing assumptions and expected loss ratios, and contributes to pricing tools, business planning, and cross-functional initiatives. Provides informal guidance to junior analysts and collaborates with underwriting, reserving, capital modelling, finance, and analytics teams.

Join the Indexes New Product Development team to design, develop, validate, and launch thematic and smart-beta indexes. Collaborate with research and product teams, build portfolio construction and analytics tools using statistical and machine learning methods, explore AI implementations, and produce white papers, factsheets, and client-facing materials to support product launches.

Supports the UK Actuarial Function through actuarial analysis, regulatory and Lloyd’s reporting, management information, reserving reviews, actuarial reports, and project initiatives. Collaborates with underwriting, claims, finance, risk, capital, pricing, and reserving teams. The role also contributes to regulatory interpretation, stakeholder responses, technical actuarial decision-making, and strengthening feedback between pricing and reserving.

Owns subject-matter expertise, strategy, roadmap, commercial performance, and optimization for Home Energy Management Systems. Designs propositions involving solar, batteries, heat pumps, EV charging, and smart controls; coordinates cross-functional delivery; defines integration and platform capabilities; evaluates flexibility markets, customer outcomes, risks, and commercial opportunities; and presents recommendations to senior stakeholders.

Provide executive remuneration consulting advice to Remuneration Committees and senior leadership. Responsibilities include benchmarking executive pay, researching market data and public disclosures, designing incentive arrangements, building financial models in Excel, managing project workstreams, preparing reports and presentations, and supporting discussions with CEOs and CFOs.

Own compensation, equity, and commission programs across Motorway. Responsibilities include market pricing, pay benchmarking, salary-band development, merit cycles, gender pay gap reporting, HRIS accuracy, compensation dashboards, equity plan analysis and administration, and commission-plan audits. The role partners closely with People, Finance, senior leadership, and business stakeholders while using AI tools to analyze data, build recommendations, and improve rewards processes.

Supports a Liability Driven Investment portfolio management team through portfolio analytics, reporting, data validation, reconciliation, performance and risk monitoring, and governance materials. The role also develops reporting and automation tools, improves data quality and operational efficiency, and supports portfolio reviews. It offers exposure to government bonds and UK derivatives, with progression toward portfolio management.

Supports enterprise data governance and quality by mapping data flows, documenting processing activities, maintaining business glossaries, defining quality rules, assessing data controls, reporting weaknesses, and producing stakeholder and regulatory reports. The role partners with business and IT leaders, data owners, stewards, and subject-matter experts to promote compliance with AIG data policies, GDPR, and other privacy requirements.

Conduct quantitative investment research for institutional investors, developing systematic strategies, factor and alpha models, event-driven frameworks, and cross-asset analyses. Build proprietary datasets, signals, models, and production pipelines using rigorous backtesting, validation, and realistic transaction-cost assumptions. Publish concise, differentiated investment insights, defend research in client discussions, and provide high-touch service to select institutional clients.