Top Risk Analyst Jobs in London

Lead and deliver risk and value management across project lifecycles: facilitate workshops, maintain risk registers, build quantitative cost and schedule risk models, provide probabilistic forecasts and reporting, advise on mitigation and commercial implications, support governance and coach junior staff while improving tools and processes.

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.

Provide daily position and mark-to-market P&L reporting, validate pricing markers and methodologies, support month-end reconciliations, improve reporting and controls, drive ETRM (TriplePoint) implementation, and advise Trading, Commercial and Finance teams.

Own the analytical and technical backbone of trading risk and fraud operations. Build production-grade infrastructure, monitoring tools, dashboards, and detection algorithms for toxic flow, latency arbitrage, and abusive trading. Investigate suspicious activity, assess product and promotion risks, classify clients for A-book/B-book decisions, and deliver solutions from data extraction through deployment. Improve automation, identify process gaps, report findings, and mentor junior analysts.

Monitor and optimize global payment operations and risk controls by auditing channel performance, investigating anomalies and fraud, producing operational reports, mapping payment journeys, supporting product and engineering improvements, maintaining KPI dashboards, and enabling payment onboarding and cross-border projects.

Lead quality assurance reviews of transaction monitoring investigations, enforce QA rubrics, perform root cause analysis, and deliver metrics and dashboards. Drive calibration, training, and cross-functional remediation with Compliance, Operations, Analytics, and L&D to improve AML/CFT case consistency and operational performance.

Develop and implement quantitative algorithms and statistical models to produce and publish forward pricing curves for illiquid commodity markets using Matlab, SQL and Excel; monitor curve performance daily, respond to client requests, update documentation, and collaborate with sales, product and editorial teams.

Design and document market-data workflows, integrations, and data pipelines for risk analytics. Translate business needs into specifications, data mappings, user stories, and test plans. Investigate data issues using SQL/Python, support UAT and releases, and improve controls, monitoring, automation, and operational processes across Market Data and Integration.

Perform credit risk analysis and implement acquisition and portfolio strategies for UK consumer and small business card portfolios. Track and explain acquisition and portfolio metrics, evaluate new data sources, generate insights, and collaborate with Central Risk, Operations, Product, Acquisitions, and Compliance to deliver profitable risk strategies and better customer outcomes.

Analyze UK consumer and small business card credit risk, develop and implement credit risk strategies, evaluate new data sources, track portfolio performance, and partner with product, acquisitions, operations, compliance, and analytics teams to drive profitable outcomes.

Support client's risk management by maintaining risk registers, producing board-level reports, assessing operational/underwriting/market risks, contributing to ORSA, embedding risk appetite frameworks, supporting stress testing, and improving risk processes and controls.

Lead operational risk management for European PetroChina entities: develop risk frameworks, manage new business assurance, design/test controls, investigate incidents, produce trader KPI reports, support IT projects and onboard new starters to ensure control compliance across trading operations.

Lead migration of SAS-based analytical EUCs to GCP by analysing business and risk logic, assessing GCP data landscape, defining data requirements and source-to-target mappings, producing engineering-ready specs, enabling engineering teams, and promoting reusable Consumer Data Products across use cases within an agile migration factory.

Produce monthly and weekly performance and risk reports for a range of funds, explain market effects on performance, publish newsletters, manage reporting processes, extract/validate data, and collaborate with investment, compliance, sales, and product teams.

Provide analytical support to the Models & Analytics Manager: deliver data analytics for credit decisioning models, produce credit risk reporting packs, champion credit data quality, support Credit Risk reporting and ad hoc projects, and manage Impairment monthly controls and oversight.

Support Resilience and Risk & Controls managers by consolidating and visualizing risk and controls data, tracking mitigation and audit actions, maintaining business continuity and operational resilience frameworks, coordinating governance and committee follow-ups, reviewing continuity metrics and incident data, and engaging stakeholders to deliver resilience improvements.

The role involves implementing risk model analytics, supporting model validation, and ensuring risk model documentation and reporting. Collaboration with teams for model improvements and production deliverables is key.

Perform rigorous credit assessments of private market funds (PE, VC, Credit), analyze LPAs and PPMs, evaluate GP track records and LP quality, recommend and structure credit limits and margin requirements for derivatives, monitor NAV, liquidity and redemption mechanics, prepare submissions and present to Credit Committee, and contribute to automated risk modelling and local process adaptation.

Lead IT risk assessments, evaluate and document inherent and residual risks, partner with stakeholders to develop and monitor risk response plans, support enterprise IT risk and cyber security initiatives, maintain risk management procedures and best practices, and communicate risks across ITS and business units.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.