Top Analyst Jobs in London

Build and improve claims-handling operations by designing processes, managing KPIs, analyzing operational data, identifying problems, and implementing solutions. Own small projects and support cross-functional initiatives from scoping through delivery. Work closely with teams across the company to drive rapid operational improvements and ensure processes scale effectively.

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.

Design and optimise global credit decisioning and pricing strategies using data and predictive models. Collaborate with Risk, Product, Commercial and ML teams to monitor models, propose features, and deliver commercial insights to maximise customer funding within risk appetite.

Supports business continuity, disaster recovery, insurance, risk management, internal audit, and assurance activities. Responsibilities include maintaining resilience documentation, coordinating testing and incident reviews, managing insurance queries and renewals, assisting with claims, conducting audit fieldwork, analyzing risk data, preparing governance reporting, and advising stakeholders on controls and resilience improvements.

Supports investment advisors in designing tailored strategies for pensions, endowments, charities, and other institutional clients. Responsibilities include numerical analysis, preparing client materials, monitoring investment strategies, supporting client relationships, contributing to proposition innovation, and assisting with new business opportunities. The role requires knowledge of investment strategies, asset classes, derivatives, industry trends, and strong Excel skills, with client-facing and data visualization experience beneficial.

Supports lead advisors in designing investment strategies, developing client solutions, preparing client materials, conducting numerical analysis, enhancing investment models, monitoring client strategies, and supporting new business opportunities. The role focuses on pensions, endowments, charities, and other institutional clients, requiring strong Excel and Python skills, investment knowledge, client communication, and collaboration across international teams.

Owns end-to-end people analytics and Power BI reporting, including semantic models, DAX, Power Query, workforce insights, executive reporting, regulatory submissions, and predictive analytics. The role improves automation, data quality, governance, and standardization while translating workforce data into actionable recommendations. It also coaches analysts and contributes to the Analytics Centre of Excellence.

Own and improve Power BI reporting for supply chain and procurement. Analyze supplier performance, costs, service, inventory, demand, and operational efficiency. Build semantic models, DAX measures, datasets, and consistent KPIs. Investigate trends and root causes, recommend actions, improve data quality and automation, and support reporting adoption across technical and non-technical stakeholders.

Analyzes revenue funnel data, builds KPI dashboards, improves forecasting and reporting, optimizes revenue processes, maintains CRM and revenue technology systems, automates workflows, and supports strategic decisions across Sales, Marketing, Finance, and Product. The role also uses AI tools to accelerate analysis and streamline RevOps activities.

Analyze trading activity, commodity and foreign exchange exposures, profitability, procurement, and supply chain performance. Produce financial and commercial reporting, develop Power BI dashboards, reconcile SAP and operational data, support budgeting and forecasting, and monitor trading controls. Partner with Trading, Procurement, Operations, Treasury, Supply Chain, and Finance teams to provide actionable insights and improve business performance.

Supports the organisation’s information security assurance, risk, and compliance activities. Responsibilities include conducting security assessments and audits, evaluating control effectiveness, identifying risks and non-conformities, documenting findings, developing remediation recommendations, tracking corrective actions, supporting ISO 27001, NIST CSF, Cyber Essentials, and audit requirements, and communicating security risks and metrics to technical and non-technical stakeholders.

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.

Supports the parameterization, development, maintenance, validation, documentation, and enhancement of an insurance capital model. Produces model outputs for reinsurance purchasing, business planning, and capital allocation, while assisting with regulatory returns to Lloyd’s and the PRA, model governance, change control, audit trails, and standard formula submissions.

Leads third-party risk management and outsourcing governance, supervising analysts, reviewing complex risk assessments, overseeing supplier due diligence, coordinating incident response, ensuring regulatory and audit readiness, and reporting to senior management. Partners with Procurement, IT, Information Security, Legal, Compliance, and business stakeholders to mitigate risks, improve processes, manage SLAs, and resolve escalations.

Build and improve Enfuce’s people-data foundation by cleaning, structuring, connecting, and governing data across systems. Develop trusted BI reporting, analyze engagement, retention, workforce efficiency, and headcount trends, and provide actionable recommendations. Define success measures and evaluate people initiatives. Partner with the People, Data & AI, Finance, and People Product teams to support AI-powered automations and products using reliable data.

Owns daily trade, curve, price, mandate, market conformity, and lifecycle controls across energy commodities. The role supports end-of-day P&L and position reporting, exchange and clearing reconciliations, SOX and regulatory controls, audit evidence, and compliance with EMIR, REMIT, MiFID II, and Dodd-Frank. It coaches junior analysts, serves as a senior escalation point, supports new product approvals, and leads automation, systems enhancements, testing, and change initiatives.

Provide second- and third-line technical support for front-office, back-office, trading, clearing, settlement, and market connectivity applications. Manage incidents, outages, system implementations, vendor upgrades, exchange relationships, client onboarding, documentation, reporting, and compliance audits. Partner with business stakeholders, infrastructure, development, and service desk teams to resolve issues and deliver application improvements across global capital markets.

Lead cyber threat intelligence and threat hunting capabilities, including threat actor tracking, intelligence analysis, proactive hunts, detection engineering, Sentinel watchlist management, incident investigation, and insider threat monitoring. The role develops security strategies, improves SOC operations, supports risk and threat modeling, and communicates cyber risks to technical and non-technical stakeholders.

Leads credit analysis for floating-rate leveraged loans, developing and managing portfolio recommendations. Responsibilities include fundamental credit research, financial modeling, valuation, stress testing, credit memo preparation, portfolio monitoring, loan-document analysis, due diligence, and collaboration with portfolio managers, traders, sponsors, advisors, and other market participants. The role requires strong leveraged finance expertise, communication skills, judgment, and knowledge of credit risk and regulatory frameworks.

Configure, develop, and implement ServiceNow ITOM and ITSM solutions, including integrations, CMDB, asset management, custom applications, workflows, and service processes. Translate customer business needs into technical solutions, create technical documentation, conduct reviews and training, troubleshoot issues, and provide technical leadership for ServiceNow implementation teams in a global client-facing environment.

Responds to and investigates information security events, alerts, incidents, and user-reported concerns across the firm. Uses SIEM and related technologies to analyze logs, build detection queries, dashboards, and correlation rules, and coordinate escalations. Provides incident response expertise, user support, documentation, and security recommendations. Also investigates AI-related threats, including prompt injection, data leakage, unauthorized AI use, and AI-assisted attacks, while developing detections and response procedures for emerging risks.

Leads the transition of Data Operations from manual processes to automated, workflow-driven operations. Responsibilities include clearing reference data backlogs, supporting ETRM trade operations, reconciling master and reference data, investigating issues with SQL, defining requirements and controls, maintaining EBX and ServiceNow workflows, managing trade failures, establishing runbooks and SLAs, and using operational KPIs to drive root-cause remediation and transformation priorities.