Top Analyst Jobs in London

Develop and evaluate AI-agent tasks focused on budgeting, forecasting, variance analysis, cash flow planning, unit economics, and scenario modeling. Build transparent reference financial models, document assumptions, reconcile outputs, and assess analytical accuracy. Identify modeling errors, inconsistent assumptions, double counting, and unsupported conclusions. The role requires strong FP&A expertise, financial statement knowledge, advanced spreadsheet skills, and clear written communication.

Monitor and analyze security alerts, investigate and respond to incidents across Windows, macOS, and Linux, perform malware and forensic analysis, remotely remediate threats, and improve detection and response processes. The analyst communicates findings to customers, mentors junior analysts, provides quality oversight, manages teams or programs, serves as a technical escalation point, and contributes to security thought leadership and process development.

Leads OT security monitoring and triage operations, investigates suspicious activity across industrial networks, validates detections, and escalates findings to incident responders and threat hunters. Maintains the Dragos Platform for customers, including asset classification, vulnerability management, detection tuning, and hardening recommendations. Produces incident reports, mentors analysts, collaborates across cybersecurity teams, and develops expertise in ICS protocols, adversary tactics, and industrial threat intelligence. The role includes shift-based coverage and occasional weekend or on-call work.

Conduct market research and quantitative and qualitative analysis on clean energy technologies and global supply chains. Collect and manage market data, identify trends, produce regional and global reports, research emerging technologies, respond to client questions, and improve research and data processes through analytical and automation initiatives.

Lead product analytics for risk controls and regulatory compliance across Wise products. Build risk data infrastructure, control-performance metrics, and control-efficiency frameworks. Analyze risk reduction versus growth impact, support control testing, and partner with product, engineering, compliance, product risk, and financial crime teams. Use data to identify regional risk drivers, monitor local typologies, and influence product decisions. The role requires advanced analytics, stakeholder management, and strong knowledge of banking or financial products.

Supports senior equity analysts by researching and valuing companies across sectors, evaluating competitive advantages and market positioning, and building and maintaining discounted cash flow models with scenario analyses. The role requires fundamental investing knowledge, advanced Excel skills, critical thinking, strong communication, and the ability to meet tight deadlines with incomplete information. It is based in Morningstar’s London office within a hybrid work environment.

Analyze Gecko browser engine telemetry across Desktop and Android, build leadership dashboards, identify telemetry gaps, develop frameworks to remove bot and hardware noise, and correlate performance metrics with user behavior. The role requires advanced SQL, statistical analysis, data visualization, browser component knowledge, and independent problem solving to translate engineering data into product strategy.

Define and own the quality bar for Spotify's AI voice models by designing evaluation rubrics, running qualitative and MOS-style campaigns, benchmarking against competitors, and turning findings into actionable recommendations for product, production, and ML teams.

Maintains and improves vessel particulars datasets by researching and validating maritime data, identifying anomalies and gaps, automating data workflows with SQL and Python, developing quality dashboards, supporting data-source integration, and resolving data issues. The role collaborates with product, engineering, market analysts, and data management teams to strengthen data accuracy, consistency, coverage, and pipeline reliability.

Own and improve maritime company and vessel ownership datasets. Research, validate, cleanse, and enrich large datasets using SQL and Python; identify anomalies and data gaps; develop quality checks, dashboards, and reports; integrate data sources; resolve issues; document business rules; and collaborate with Product, Engineering, Market Analysts, and data teams to improve platform capabilities.

Conduct quantitative analysis for international arbitration disputes, including analyzing datasets, building economic and financial models, researching economic issues, evaluating companies and markets, and presenting findings. The role includes coding, applied economic research, teamwork with senior consultants and law firms, and structured professional development.

Research Analysts support international arbitration projects by analyzing complex datasets, building economic and financial models, researching economic issues, evaluating companies and markets, and presenting findings. The role includes structured training in economic modeling, coding, analytical problem-solving, and client communication. Candidates should have a master’s degree in economics or another quantitative discipline, strong data analysis skills, teamwork, intellectual curiosity, and excellent communication abilities.

Conduct sovereign macroeconomic and financial market research covering the Middle East and Turkiye. Analyze data, policy, geopolitical developments, ESG factors, and market risks; develop actionable investment recommendations across external debt, local debt, and currencies. Collaborate with portfolio managers and global investment teams, use systematic and AI-assisted research tools, validate models, engage sovereigns, and contribute to emerging-market portfolio risk and positioning.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

Conduct fundamental credit analysis of European banks and insurers, assessing issuer and security risks. Build financial models with forecasts, sensitivity analysis, and stress testing; engage borrowers, investment banks, sell-side analysts, and syndicate desks; and identify secondary-market opportunities through relative value analysis. The role supports high-conviction investment decisions within hedge fund and long-only strategies, with potential progression to trade origination, underwriting, and implementation responsibility.

Conduct data governance reviews, assessments, and sign-offs for strategic initiatives. Ensure compliance with Data Minimum Standards, data ownership, quality, metadata, and governance requirements. Represent Data Governance in architecture, Salesforce, and change approval forums; guide project teams through governance checkpoints and required artefacts. Collaborate with delivery, architecture, technology, business, and data stakeholders to promote consistent governance and accountability across initiatives.

Analyze operations demand drivers, build KPI and funnel frameworks, identify cost and efficiency opportunities, and deliver commercially grounded recommendations to senior leadership. Develop Python- and LLM-based automation prototypes, test them with operations data, and partner with product managers and engineers to scale successful solutions into production workflows.

Processes and monitors delegated authority bordereaux, resolves data issues with brokers, coverholders, and internal teams, and supports reporting, governance, regulatory returns, conduct oversight, and debt and cash management. The role improves data quality, maintains procedures and training documentation, provides technical guidance on bordereau requirements, and contributes to Power BI reporting and Lloyd’s standards compliance.

Develop and maintain Python and SQL research tools, analytics, data pipelines, automation, and AI-enabled workflows. Analyze and validate large financial datasets, investigate data issues, support quantitative investment and index research, and apply regression, optimization, factor analysis, risk modeling, and performance analytics. Collaborate across research, engineering, technology, and data operations teams while supporting index methodologies, rebalances, client inquiries, and continuous process improvement.

Supports the European Legal group with real estate transaction and entity records, post-closing coordination, legal trackers, invoice workflows, KYC/AML documentation, records retention, lease activity, notices, meetings, and communication with internal teams and external advisers. The role requires strong organisation, accuracy, prioritisation, legal-environment experience, and familiarity with commercial property documentation.

Own transaction reporting processes for energy trades under EMIR, REMIT, and MiFID. Ensure timely and accurate submissions, monitor reporting errors, conduct root-cause analysis, resolve exceptions with Front Office, Operations, IT, and technical partners, and identify process improvements and control enhancements. The role also supports trade lifecycle activities, including booking, amendments, contracts, and settlements.

Manages end-to-end financial governance and operating costs for Global Digital and IT. Responsibilities include budget execution, forecasting, purchase and invoice lifecycle management, accruals, financial close activities, cost allocation, cloud spend optimization, dashboards, ROI analysis, audit coordination, CAPA oversight, and contract lifecycle governance. The role partners with Finance, Procurement, vendors, and IT leadership to improve transparency, control, compliance, and value realization.

Supports Data Ethics and Legal teams by managing data subject requests, privacy questionnaires, responsible AI controls, playbooks, documentation, reporting, and process improvements. The role coordinates cross-functional projects, maintains knowledge resources and intranet content, develops training materials, and translates legal, regulatory, privacy, and data ethics requirements into practical workflows. It also applies AI and automation to controlled business processes while tracking risks, escalations, turnaround times, and operational performance.

Coordinates engineering change requests and orders, maintains product data, BOMs, revisions, documents, and configurations across PLM and ERP systems. Validates change packages, analyzes impacts, supports product introduction and sustaining engineering, monitors workflows, and ensures data quality and governance. Collaborates cross-functionally with engineering, manufacturing, procurement, quality, service, and product management while preparing reports and supporting process improvements.

Supports transaction opinions and board advisory engagements through financial modeling, valuation analysis, market and transaction research, client deliverables, marketing materials, and client interaction. The role works with senior deal teams and clients on M&A, restructuring, recapitalization, spin-off, fairness opinion, and solvency opinion assignments. Candidates should have strong corporate finance knowledge, advanced Excel skills, excellent communication abilities, and at least one year of relevant financial services experience.