Top Analyst Jobs in London

Analyze market-moving corporate events, public company news, regulatory filings, and investor materials. Produce accurate summaries, auditable calculations, scenario analyses, and concise research notes for professional audiences. Validate internal tools and workflows, identify errors and missing assumptions, and help improve research processes, templates, and data quality. The role requires strong analytical judgment, quantitative fluency, attention to detail, and a strong interest in financial markets.

Analyze market-moving corporate events, public company news, regulatory filings, and investor materials. Validate automated model outputs, write research reports, communicate findings to clients, and improve research processes and data quality. The role requires finance and capital markets interest, Python and Excel experience, strong analytical and written communication skills, attention to detail, and the ability to prioritize effectively under time pressure.

Generate actionable insights from complex customer, behavioral, lifecycle, and product data. Collaborate with product, commercial, CRM, content, and leadership teams to define analytical questions, test hypotheses, measure business impact, and support evidence-based decisions. Present clear data stories, challenge assumptions, promote data-driven decision-making, and automate recurring reporting and analysis.

Supports daily PMO operations by consolidating project updates, maintaining RAID logs, building portfolio metrics and dashboards, and coordinating governance forums. Automates PMO workflows across Jira and Confluence using Python, develops lightweight internal tools, and manages documentation quality. Owns selected small-to-medium projects, coordinating stakeholders across engineering, business, and operations while tracking risks, dependencies, milestones, and delivery progress.

Supports reinsurance underwriting through risk assessment, large-account pricing, actuarial modeling, statistical analysis, pricing recommendations, portfolio reviews, KPI reporting, inflation reviews, and pricing process improvements. Collaborates with underwriters, actuaries, exposure management, portfolio management, and IT teams. The role also contributes to automation, model development, management information accuracy, and continued progress toward full actuarial qualification.

Owns affiliate performance analytics across global brands, markets, and products. Responsibilities include analyzing large datasets with SQL, developing dbt data models, maintaining Power BI and Sigma dashboards, validating data quality, and delivering actionable insights for marketing and commercial decisions. The role partners with Affiliate, Marketing, Finance, Commercial, and Data teams and supports AI-enabled marketing intelligence through Snowflake AI, automation, and modern analytics tools.

Five-month investment banking internship supporting M&A, financing, and capital markets transactions. Responsibilities include financial modeling, company valuation, performance analysis, research, due diligence, strategic analysis, transaction documentation, and client presentation materials. Interns work alongside senior bankers under tight deadlines and may convert to a full-time Analyst program.

Prepare daily P&L and risk reports, analyze commodity trading risk drivers, monitor limits, support new product approvals, develop forward-curve methodologies, reconcile with accounting teams, contribute to risk committees, review Endur changes, and ensure trading control compliance across LNG, power, and emissions markets.

Monitor global events, security threats, business travelers, and client assets; triage and escalate incidents; conduct safety check-ins; coordinate with stakeholders; and produce timely security alerts, threat assessments, risk forecasts, and scheduled or ad hoc reports. The role operates on rotating 12-hour day and night shifts, including weekends, using OSINT and SOCMINT tools.

Partner with Product, Design, Engineering and Analytics Engineering to analyze customer behaviour, define KPIs, run funnel/cohort analyses, design and evaluate A/B tests, build dashboards, and surface actionable product insights to drive activation, engagement and retention.

Manage global treasury operations for a fintech and cryptocurrency platform, including daily cash positioning, bank reconciliations, liquidity management, cash forecasting, bank relationships, disbursement monitoring, financial reporting, variance analysis, compliance, and management decision support. Maintain rolling cash forecasts and accurate treasury records while coordinating with accounting and international banking partners.

Manage and enhance customer insight data models, maintain data integrity, collaborate on internal and third-party data requirements, and produce regulatory metrics, thresholds, dashboards, and management information. Analyze customer outcomes, identify root causes, generate actionable insights, raise queries with business owners, and support compliance with FCA conduct and consumer duty requirements. The role partners with cross-functional teams to improve customer-centric decision-making and evidential reporting.

Manages first-line third-party risk controls across supplier onboarding, assessment, due diligence, monitoring, reassessment, remediation, reporting, and offboarding. Reviews evidence, challenges incomplete submissions, maintains risk inventories and records, monitors trigger events and overdue actions, coordinates stakeholders, supports audits and regulatory requests, and escalates material risks or control weaknesses. The role also improves third-party risk procedures, data quality, reporting, and process consistency.

Lead product analytics for Wise Business Multi-User Access: derive insights, define KPIs, run A/B tests, build automated data pipelines and dashboards, and drive cross-team product decisions including fraud, chargeback risk, and pricing.

Own and productionise growth marketing analytics infrastructure: build scalable growth narratives, automate marketing financials and insights, develop Lightdash/Streamlit/AI tools, create payback and financial models, partner with Finance and Marketing, ensure data quality, and reduce technical debt by building reusable data components.

Supports business operations across sales operations, people operations, and corporate administration. Responsibilities include maintaining CRM data, administering sales and internal software tools, managing user access, tracking vendors and contract renewals, coordinating interviews, supporting new-hire onboarding, and assisting with cross-functional projects. The role requires strong spreadsheet skills, organizational ability, communication, and problem-solving in a hybrid London-based six-month contract.

Supports new business intake and conflicts management by conducting conflict searches, corporate ownership research, AML/KYC due diligence, and client and matter intake processing. The role analyzes potential conflicts, coordinates with attorneys and administrative teams, maintains accurate billing and intake records, and contributes to process improvements and special projects while safeguarding confidentiality.

Leads strategic projects from problem definition through solution development, stakeholder buy-in, and implementation. Manages client service, builds executive relationships, identifies additional value opportunities, solves complex ambiguous problems, and advises senior stakeholders. Contributes to recruiting, coaching, and team improvement while managing risk, compliance, and competing priorities. Applies financial modeling, financial statement analysis, quantitative analysis, and business judgment within financial services.

Supports Lloyd’s and non-Lloyd’s coverholder applications, delegated authority due diligence, contract workflows, compliance reviews, quality assurance, and audit recommendation follow-up. Acts as a contact for brokers, coverholders, claims administrators, auditors, and underwriters. The role also assists with system testing, regulatory compliance, market forums, documentation, and administrative coordination.

Manage, validate, cleanse, map, and upload bordereaux from Coverholders and TPAs. Ensure data quality, regulatory compliance, timely system ingestion, and accurate reporting across premium, claims, and risk datasets. Investigate anomalies, missing data, and contract breaches; resolve partner queries; collaborate with underwriting, finance, claims, brokers, and external stakeholders; monitor binder performance; and escalate persistent issues.

Conduct longevity and demographic research to develop mortality assumptions, pricing bases, and tools for global reinsurance business. Analyze internal and external data, apply statistical and machine learning methods, support medically underwritten annuities and new product development, and document and present findings to senior stakeholders. Collaborate with pricing, biometric, and broader business teams while monitoring developments in longevity research and markets.

Conduct blockchain intelligence, cryptocurrency tracing, OSINT, and digital asset investigations supporting intellectual property protection and revenue recovery. Analyze prediction markets, wallets, transactions, entities, and financial networks; produce intelligence assessments, investigative reports, link analyses, and briefings. Maintain intelligence holdings, monitor emerging blockchain risks, collaborate with stakeholders, and evaluate investigative technologies and analytics platforms.

Own the BAU IFRS9 process, produce and validate monthly outputs, develop and test model changes, maintain documentation and change logs, investigate model performance and movements, and support credit analysis and stakeholder queries. The role requires production-quality SAS and Python coding, credit risk reporting, impairment or capital modeling knowledge, and the ability to communicate analytical results to technical and non-technical audiences.

Conduct blockchain intelligence, cryptocurrency tracing, OSINT, and digital asset investigations supporting intellectual property protection and revenue recovery. Analyze prediction markets, wallets, transaction flows, entities, and behavioral patterns; maintain intelligence holdings; produce investigative reports, link analyses, assessments, and briefings; monitor emerging blockchain risks and evaluate investigative technologies.

Provides analytical support for outwards reinsurance strategy, purchasing, monitoring, and planning. Responsibilities include renewal modeling, reinsurance structure analysis, regulatory calculations, purchase tracking, data-quality improvement, automation, and maintaining modeling tools. The role collaborates with actuarial, finance, underwriting, brokers, consultants, and other stakeholders to optimize reinsurance profitability within risk appetite and business objectives.