Top Analyst Jobs in London

Lead data analysis for Wise Business Operations, deriving insights that shape strategy and product decisions. Define KPIs, build dashboards and automated data pipelines, identify high-impact opportunities, and lead cross-team analysis of servicing friction and customer retention. The role requires strong stakeholder influence, clear communication, independent ownership, and the ability to turn complex data into actionable recommendations.

Analyze transaction, event, and case data to identify fraud-control gaps, anomalies, and root causes. Build detection rules and features, define fraud KPIs, model risk for new market launches, and recommend prioritized actions. Partner with product managers, data scientists, operations, investigators, compliance, and engineering teams to improve fraud detection, customer experience, and operational outcomes.

Supports the Chief Data and Analytics Officer by identifying operational risks, designing and evaluating controls, managing control issues and remediation, coordinating audits, supporting regulatory engagements, and overseeing governance and reporting. The role presents updates to senior management, collaborates with control managers, and helps establish best practices for data, AI/ML, and finance control environments.

Lead business analysis for commercial and specialty insurance transformations. Elicit, analyse, and document requirements; map current/future processes; design target operating models; facilitate stakeholder workshops; produce user stories and acceptance criteria; support backlog management, testing/UAT, and change impact assessment to enable underwriting, claims, and policy administration improvements.

Supports J.P. Morgan’s Personal Investing Commercial team through commercial analysis, performance reporting, business cases, financial modeling, and strategic initiative tracking. Develops assumptions and frameworks, monitors results, identifies risks and opportunities, prepares retrospective reviews, and provides data-driven recommendations. Coordinates initiatives across Product, Marketing, and Finance, maintains roadmaps and reporting tools, and communicates insights through stakeholder updates and presentations.

Conduct real-time monitoring, analysis, containment, remediation, malware analysis, and incident response across Windows, macOS, and Linux environments. Develop detection and response processes, communicate findings to customers, mentor junior analysts, provide technical escalation and quality assurance, manage programs or teams, and contribute to security thought leadership and process improvement.

Conduct fundamental and relative value credit analysis on leveraged loans, build cash flow and credit models, and produce detailed research reports with actionable investment ideas. Analyze corporate loan issuers, capital structures, industry trends, comparable transactions, and valuation. The role covers primarily European performing credits, with occasional U.S. coverage, and includes client interaction, collaboration with legal teams, and portfolio coverage responsibilities.

Conduct European leveraged finance and credit analysis across high-yield, stressed, distressed, and restructuring situations. Build capital structures, valuation models, scenario analyses, and cash flow projections to develop actionable investment ideas. Monitor markets, assess business performance and credit risks, publish research, collaborate with legal analysts and reporters, and respond to subscriber and client requests.

Supports Finance and Go-To-Market departments by designing data recording systems, monitoring data quality, enforcing governance, analyzing large datasets, producing concise reports, and recommending process improvements. The role translates complex findings into actionable insights for non-technical stakeholders and supports Sales, Marketing, and Customer Success objectives.

Analyzes and consolidates international co-brand credit card portfolio data across multiple markets. Develops Power BI and Excel dashboards, reporting tools, and analytical models; produces weekly and executive performance updates; monitors KPIs and identifies trends, risks, and opportunities. Partners with product managers, regional stakeholders, and external partners on performance reviews, campaign analysis, forecasting, and portfolio strategy. Improves reporting processes through automation, new datasets, and business intelligence solutions.

Lead product analytics for customer onboarding and account access. Derive insights from data, guide product decisions, partner with product managers, engineers, and designers, and identify opportunities to improve customer experience while preventing fraud. Build data pipelines, dashboards, and KPI reporting systems; communicate findings across teams; and explore AI-driven automation and machine learning techniques to improve analytics and generate insights.

Lead product analytics for Wise’s Send tribe, focusing on verification, transfer predictability, service quality, customer retention, and growth. Analyze customer problems, define KPIs, conduct A/B tests and causal analyses, track product impact, and guide prioritization with Product Managers and stakeholders. The role also supports scaling service operations, improving customer journeys, and identifying opportunities through SQL and Python analysis, with optional use of Airflow, dbt, Looker, and predictive modeling.

Lead product analytics for Wise’s Business Account Management Team. Derive insights, define KPIs, guide product strategy, evaluate opportunities, improve A/B testing, and build automated data pipelines and dashboards. Own complex cross-team analyses involving fraud, chargeback risk, pricing, and product decisions. Communicate findings clearly, influence stakeholders, and enable fast, data-driven decision-making.

Lead product analytics for Wise’s business onboarding experience. Own KPI frameworks, conduct funnel and cohort analysis, lead A/B testing, build dashboards and governed data products, and recommend product improvements that balance conversion, customer experience, operational efficiency, and risk. Develop LLM-ready data foundations with clear entities, schemas, metadata, documentation, and governance while partnering with product managers, engineers, designers, and verification teams.

Drive IT SOX scope rationalization, dependency mapping, RACM development, and control optimization across cloud and SaaS environments. Support ITGC and ITAC testing, onboard new systems, document system dependencies, and partner with Finance, Risk, Security, and Platform stakeholders. Translate technical architecture and cloud-native processes into audit-ready documentation while identifying redundant or missing controls.

Supports Hilton’s EMEA Real Estate & Asset Management team through hotel capex reporting, ROI analysis, real estate transaction underwriting, portfolio performance analysis, investment committee materials, and strategic capital planning. The role builds financial models, evaluates hotel performance and asset enhancement opportunities, coordinates stakeholder inputs, monitors project variances, and provides recommendations to senior leadership. It requires strong Excel, analytical, financial modeling, communication, and hospitality finance skills.

Support senior colleagues in selling Rates, FX, Credit, and cross-asset products to Middle East and North Africa financial institution clients. Responsibilities include market research, monitoring, trade idea development, portfolio reviews, client relationship management, market updates, pricing support, and delivering tailored solutions. The role requires quantitative, communication, research, problem-solving, and collaboration skills in a fast-paced regulated markets environment.

Supports global fundraising, infrastructure credit product launches, investor diligence, client reporting, marketing collateral, investor relations, and strategic initiatives. The role develops client materials, researches markets and competitors, assists with conferences and events, responds to investor queries, and translates complex investment strategies into clear presentations. It collaborates with investment, client, legal, compliance, risk, and operations teams while supporting institutional client relationships and new fund development.

Develop and improve quantitative models for investment strategies, conduct statistical analysis, and implement trading models. Requires strong analytical skills and relevant degree.

Supports Palantir deployments by managing projects, optimizing processes, removing roadblocks, responding to operational issues, tracking project metrics, and coordinating with customers, engineers, and leadership. The role requires strong judgment under pressure, detailed execution, collaborative relationship-building, and willingness to work onsite with customers and travel extensively.

Lead product analytics for Wise’s Europe and UK regional expansion, partnering with product managers and analysts to define KPIs, assess product launches, conduct forecasting and experimentation, and influence data-driven decisions. Build and maintain data assets, identify opportunities to improve performance, and communicate actionable insights to technical and cross-functional stakeholders across a complex fintech environment.

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Manage daily FX currency-overlay order flow, mitigate risk, and ensure accurate trade execution. Serve as a product subject-matter expert by designing currency risk-management solutions for institutional clients. Review procedures, data flows, and system dependencies to identify control gaps and improvements. Develop advanced analytics using statistical methods and large datasets to improve client solutions and generate business opportunities, collaborating with Trading, Sales, Technology, and Operations.

Off-cycle quantitative research intern supporting systematic trading, financial engineering, statistical modeling, portfolio optimization, and derivatives pricing. Responsibilities include developing mathematical models and algorithms, valuing and hedging transactions, conducting alpha research, calibrating models, optimizing pricing, managing portfolio risk, and collaborating with traders, technologists, sales, and risk teams. Candidates gain hands-on global markets experience and may be considered for full-time employment after successful completion.

Monitors and triages security alerts, investigates incidents through resolution, conducts threat hunting, and develops or tunes detection rules. The analyst correlates endpoint, network, cloud, and identity telemetry; uses AI and automation to improve investigations; documents findings and incident reports; collaborates with global SOC and response teams; and helps maintain playbooks while participating in a weekend rotation approximately every five weeks.