Top Analyst Jobs in London

Provides predominantly second-line support for business-critical applications, investigating complex incidents across integrations, APIs, databases, and application services. Uses SQL, Postman, Azure Application Insights, and KQL for diagnostics and performance monitoring. Owns incidents through resolution, performs root cause analysis, coordinates with vendors and stakeholders, tests fixes and releases, supports production transitions, and contributes to ITIL processes, documentation, and continual service improvement.

Supports the EMEA Capital Markets executive team with business strategy execution, operational coordination, market and performance analysis, pipeline reporting, and leadership communications. Maintains Capforce data accuracy and adoption, coordinates reporting cycles with country teams, manages knowledge resources, and prepares presentations and talking points. The role requires advanced Excel and PowerPoint skills, quantitative ability, project management, strong communication, digital proficiency, and understanding of AI programs.

Supports investment performance measurement, attribution, reporting, data validation, and regulatory analytics. Develops Python automation, SQL queries, reporting pipelines, reconciliation tools, and internal applications while collaborating with investment, risk, technology, product, client service, compliance, and vendor teams. Contributes to reporting platform enhancements, process standardization, documentation, data quality, and modernization initiatives involving APIs, AI-assisted development, and EMEA regulatory requirements.

Analyzes political violence and terrorism exposures for the Crisis Management Underwriting team. Responsibilities include accurately capturing exposures in EBIX Exposure Hub, building data automation and validation pipelines, producing aggregate and modeling reports, conducting portfolio and account performance analysis, and supporting underwriting activities. The role collaborates with Claims, Risk, Compliance, and other underwriting support functions while preparing pricing and governance information.

Supports relationship and business development teams serving institutional and wholesale investment clients. Responsibilities include preparing client materials, analyzing portfolio and product information, coordinating meetings and communications, maintaining CRM data, managing RFIs and RFPs, responding to inquiries, and supporting client roadshows and reviews. The role requires investment management knowledge, strong analytical and communication skills, attention to detail, and proficiency with Microsoft Office.

Manage pension transfers, withdrawals, retirement processing, letters of authority, and platform administration from start to finish. Resolve complex cases, maintain accurate records, perform four-eye checks, monitor operational controls, investigate failures, and escalate risks. Improve processes through documentation and automation, support new products and client migrations, coach colleagues, and contribute to the development of retirement services and platform operations.

Manage EMEA payroll operations with external vendors, ensuring accurate, compliant, and timely payroll processing. Review payroll data and outputs, resolve discrepancies, coordinate with HR, Finance, Compensation, Benefits, and mobility teams, and support international assignee shadow payrolls. Maintain procedures, respond to payroll queries, manage service-level agreements, and implement process improvements across complex international payroll activities.

Support asset and liability management, liquidity and market risk processes within Treasury. Responsibilities include ILAAP production, stress testing, cashflow and attrition modelling, ALCo reporting, funding and cash optimisation, funds transfer pricing, regulatory responses, ALM system UAT, policy maintenance, and stakeholder coordination across Finance, Risk, Treasury, and business teams.

Senior marine claims handler responsible for managing, adjusting, assessing, and settling complex claims across Marine, Bespoke, Cargo, US Trucking, Fine Art, and Specie portfolios. The role involves policy interpretation, file strategy, vendor and expert management, broker and client engagement, escalation of major claims, regulatory compliance, market meetings, and providing claims insights to underwriting, actuarial, and management teams.

Tests and validates bibliographic metadata feeds, system enhancements, and data integrations. Investigates data quality issues, documents defects, supports UAT and smoke testing, validates Power BI reports, monitors international data inputs and outputs, and maintains testing documentation and procedures. The role collaborates with publishers, suppliers, and internal Data Management, Commercial, and Technology teams to improve metadata standards and ensure accurate, reliable data delivery.

Analyze unfamiliar datasets for a complex data migration, identifying and quantifying data quality issues and tracing root causes. Develop reusable SQL and Python scripts for profiling, exception detection, reconciliation, and migration validation using tools such as Azure Databricks and dbt. Communicate evidence-based findings to technical and non-technical stakeholders through reports, Excel, Power BI, or Tableau, supporting mapping, cleansing, and acceptance decisions.

Analyze and evaluate global private equity and private credit fund opportunities, conduct manager due diligence, review performance and cash flow data, prepare investment memoranda and committee materials, monitor existing investments, and support client requests. The role also involves researching private markets, presenting conclusions clearly, and using AI tools to improve due diligence, reporting, and portfolio monitoring workflows.

Supports Hines’ European real estate private equity fund management team across acquisitions, investment strategy, asset management, financial modeling, liquidity and performance analysis, investor reporting, and institutional investor communications. The role involves coordinating with internal stakeholders, preparing investor presentations and meeting materials, and supporting value-enhancement initiatives across pan-European investments.

Supports business transformation by designing and documenting processes, analyzing requirements and gaps, coordinating UAT, assisting project management, developing target operating models, bridging business and IT teams, and supporting training, adoption, and change management.

Provides independent market risk analysis across energy trading, hedging, and commercial activities. Develops risk methodologies, quantitative models, reporting processes, and metrics including Value at Risk, stress testing, and scenario analysis. Monitors risk mandates and control frameworks, escalates breaches, supports commercial decisions, and improves reporting automation using Power BI, SQL, and Python. Communicates complex quantitative insights to senior stakeholders.

Analyze digital service and product performance, define KPIs and measurement frameworks, build dashboards, write SQL queries, and deliver data visualizations and insights. The role partners with multidisciplinary teams and clients to improve decision-making, data governance, tooling, and data literacy. Responsibilities also include ensuring data quality, advising on analytics approaches, supporting project delivery, and contributing to coaching, training, and the analytics community of practice.

Provides day-to-day PMO support across transition planning, change control, RAID and action management, reporting, governance, resource tracking, and documentation. Maintains integrated plans, logs, decision records, meeting outputs, audit trails, and status reports while coordinating with Project Managers, Programme Managers, and Workstream Leads. The role also quality-checks information, follows up actions, escalates risks, and supports continuous improvement of PMO standards and processes.

Owns B2B sales and unit-economics decisions, including customer and shop valuation, pricing analysis, lifetime value, deal economics, forecasting, and commercial prioritization. The role designs decision frameworks, builds data applications, monitors, and alerts using SQL and AI tools, improves data quality, investigates operational discrepancies, and proves the impact of changes on sales outcomes and quarterly targets.

Own Marketplace decision-making across booking, matching, pricing, and driver shifts. Identify meaningful problems, design metrics and decision systems, analyze experiments, build data applications and monitoring tools, and influence product and engineering priorities. The role requires hands-on SQL analysis, understanding marketplace incentives and user behavior, validating changes in real-world operations, and rapidly shipping practical solutions.

Own marketplace decision-making across booking, matching, pricing, and driver shifts. Identify real problems, define success metrics, guide product changes, build data applications, monitors, and alerts, and evaluate experiments. The role partners with engineering, data science, and operations, investigates discrepancies in real-world logistics, develops missing data capabilities, and drives measurable improvements in a two-sided marketplace.

Own fraud and Partner Excellence strategy across Relay’s delivery network. Investigate fraud, risk, and trust signals; define rules, evidence standards, monitoring, and interventions; and turn analysis into product, policy, or training decisions. Build data applications, alerts, and operational tools using SQL, Claude, and AI agents. Work directly with physical operations to resolve data gaps, validate fixes, and measure outcomes across a high-volume live network.

Own B2B pricing and commercial decision-making by determining customer and shop value, designing sales metrics, building data applications and monitoring tools, improving data collection, and assessing whether sales targets will be achieved. The role requires hands-on SQL work, stakeholder influence, experimentation, and translating analysis into decisions that shape sales strategy.

Own commercial and unit-economic decision-making for sales, clients, and network partners. Define customer and deal valuation methods, identify meaningful sales problems, build data applications, monitoring, and alerts, and influence sales strategy. Establish data quality, forecast quarterly performance, validate changes, and ensure insights drive business decisions. The role requires hands-on SQL analysis, practical tool building, and close collaboration with sales, analytics engineering, operations research, and data science teams.

Own B2B pricing and commercial decision-making by determining customer and shop value, designing sales signals and metrics, forecasting quarterly performance, and building data applications, monitors, and alerts. The role requires hands-on SQL analysis, cross-functional data development, field validation, and influencing sales strategy through measurable insights and shipped tools.

Own fraud and partner-risk decisions across Relay’s delivery network. Investigate signals, distinguish real issues from noise, define rules and evidence standards, build SQL-driven applications, monitors, and alerts, and guide product, policy, and training changes. Validate fixes through data and field observations, secure missing operational records, and measure outcomes such as false-positive rates.