Top Analyst Jobs in London

Leads end-to-end expense planning and financial management for global specialty and medical portfolios. Partners with commercial, medical, portfolio, HR, and finance teams on budgets, forecasting, variance analysis, headcount costs, reporting, month-end activities, and funding decisions. Supports early pipeline planning, evaluates investment risks and resourcing needs, prepares leadership presentations, and provides sales and profitability insights to senior stakeholders.

Supports first-line risk management through controls inventory maintenance, data quality checks, control rationalisation, RCSA coordination, reporting, governance administration, remediation tracking and process improvement. The role maintains accurate control records and assessment documentation, prepares dashboards and management information, coordinates stakeholders and follows up on actions. It requires strong Excel, analytical, organisational and communication skills, with desirable experience in MetricStream, GRC, operational risk, controls, audit or regulated financial services.

Supports first-line risk and controls management through controls inventory maintenance, data quality checks, control rationalisation, RCSA coordination, remediation tracking, governance administration, reporting and management information. The role maintains dashboards, action logs and audit-ready documentation, coordinates stakeholders, supports governance forums, and identifies process, workflow and reporting improvements within a regulated financial services environment.

Analyze short-term wholesale power markets, support price forecasting and trading strategies, monitor EDF portfolio optimization, and communicate time-critical risk information. Develop and maintain optimization models, data science applications, automated workflows, visualizations, and web tools. Improve application robustness through testing and refactoring, participate in peer reviews, train junior analysts, and collaborate with traders, asset managers, and international analytical teams while ensuring REMIT compliance.

Supports EMIR, MiFID II, SFTR, and other regulatory reporting obligations for LME and LME Clear. Responsibilities include SQL-based reconciliations, regulatory data analysis, Python automation, reporting validation, UAT, root cause analysis, data lineage documentation, process controls, management information, stakeholder coordination, and issue resolution. The role also maintains procedures, static data, and reporting processes while identifying automation and continuous-improvement opportunities.

Analyze customer behavior, revenue, profitability, costs, and business initiatives across UK Insurance. Build forecasting, predictive, statistical, and impact-measurement models; translate complex data into recommendations for Product leaders; support strategic decisions; provide commercial insight; lead complex analytical projects; and mentor junior analysts.

Lead product strategy, backlog, roadmap, and delivery for automated Risk & Controls solutions within Banking Technology. Translate regulatory and compliance requirements into technical specifications, automated workflows, and engineering priorities. Partner with Risk, Compliance, Audit, and engineering stakeholders to launch resilient, control-integrated applications. Guide agile practices, validate AI-driven compliance gates, influence senior leaders, and ensure secure, ethical, and compliant product decisions.

Manage counterparty onboarding and due diligence by reviewing trading partner submissions, maintaining accurate OpenTWINS records, completing first-line checks, escalating issues to Compliance, and supporting governance documentation and process improvements. The role also helps strengthen controls, auditability, operational efficiency, and market security procedures while collaborating with business stakeholders and control functions.

Manages ESG investment data operations globally, ensuring accuracy, timeliness, quality, controls, and regulatory readiness. Investigates data issues, resolves exceptions, partners with stakeholders and external suppliers, maintains governance documentation, monitors operational risk, and supports audits and technology change initiatives. Uses SQL, Python, and Excel to analyze datasets, automate processes, strengthen controls, and improve ESG data services.

Manage bookkeeping, accounts payable and receivable, VAT returns, employee expenses, client invoicing, billing workflows, reconciliations, month-end close, general ledger maintenance, financial reporting, budgeting, and variance analysis. The role also improves finance processes, supports operational projects, and collaborates with cross-functional teams in a high-growth AI startup.

Supports BlackRock Aladdin implementation, configuration, onboarding, client servicing, and ongoing platform operations. Analyzes requirements, investigates production issues, coordinates resolutions, monitors data quality and reconciliations, conducts UAT, documents processes, trains users, and supports reporting, integrations, governance, and operational improvements across investment workflows.

Analyze performance marketing and user acquisition data to drive campaign, product, and LiveOps decisions. Own LTV and ROI modeling, reporting, dashboards, experimentation, and marketing analytics processes. Partner with Growth, Marketing, BI, Product, and Game Analytics teams to evaluate acquisition quality, retention, monetization, and in-game behavior. Investigate media mix modeling, SKAN, incrementality testing, and predictive modeling methods, translating complex findings into actionable recommendations.

Manage car rental pricing and availability, develop analytics-driven revenue and mix optimization strategies, monitor market trends, automate pricing execution and quality control, produce reports and forecasts, and collaborate with corporate and field teams to improve revenue, utilization, and forecast accuracy.

As a Senior Business Analyst (Valuations), you will analyze economic value, build models, conduct testing, and collaborate with cross-functional teams to inform business decisions.

Manage day-to-day privacy processes (RoPA, DPIA, DSRs), administer OneTrust and Jira, drive AI governance rollout, advise on data protection and consent, codify guidance and training, automate privacy operations, reassess high/medium-risk processing, and support data protection agreements with cross-functional stakeholders.

Conduct quantitative equity research supporting alpha generation, risk management, and portfolio construction. Build multifactor models using linear, nonlinear, and machine learning approaches; evaluate structured and alternative datasets; analyze risk exposures, optimization, performance attribution, and portfolio positioning; and provide recommendations to portfolio managers. Contribute to research projects, product development, fund pitches, client communications, and internal research publications.

Supports Project Evolve by analyzing, mapping, documenting, and improving finance and operational processes, including General Ledger and Tenancy Schedule workflows. The role identifies root causes, controls, ownership, governance, and automation opportunities; translates business needs into requirements and implementation plans; supports testing, change adoption, legacy-process retirement, and benefits tracking; and facilitates workshops with finance, technology, and senior stakeholders.

Supports infrastructure investment transactions across direct investments, co-investments, secondaries, and fund commitments. Responsibilities include financial modeling, returns analysis, due diligence, market and company research, investment committee materials, portfolio monitoring, sponsor coordination, and client analyses. The role also involves reviewing approved AI-tool outputs and contributing to infrastructure sector research across data centers, digital infrastructure, renewables, utilities, and transportation.

Manage global indexes by validating calculations, researching corporate actions, monitoring data feeds, performing quality assurance, analyzing impacts, and ensuring accurate dissemination. Prepare client statistics, factsheets, presentations, and automated custom reports, while responding to client inquiries. The role requires financial and portfolio mathematics knowledge, advanced Excel skills, strong analytical and communication abilities, and coordination across multiple deadlines.

Manage UK HR operations across employee lifecycle processes, employee relations administration, leave cases, severance, claims, reporting, overpayments, and sensitive leaver activity. Advise managers on HR policies and legislation, maintain accurate records, support regulatory compliance, resolve employee queries, and improve processes and operational efficiency. Collaborate with HR advisory, payroll, and other teams while delivering reliable service within defined procedures and deadlines.

Analyze market-moving corporate events, public company news, regulatory filings, and investor materials. Validate automated model outputs, write research reports and content notes, communicate findings to clients, and improve research processes and data quality. The role requires strong finance and capital markets interest, analytical thinking, attention to detail, clear communication, and the ability to work under time pressure with incomplete information.

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.