Top Analyst Jobs in London

Analyze social and digital performance data across global media brands. Build dashboards and reports using Looker Studio, Google Analytics, Marfeel, and spreadsheet tools; monitor social listening data, audience sentiment, content trends, competitor activity, and referral traffic. Partner with editorial, commercial, brand social, and BI teams to identify growth opportunities, support campaign pitches, improve creative performance, and maintain consistent KPIs, benchmarks, and tagging frameworks.

Analyzes client debt recovery portfolios to improve collections, recoveries, and customer outcomes. Designs analytical insights, identifies data-driven performance opportunities, manages datasets, and develops recovery performance standards and processes. Collaborates with internal stakeholders, the Data & Analytics community, and external clients to deliver high-quality analysis and support performance initiatives.

Produce, validate, and distribute investment asset reports supporting governance, operational decisions, and regulatory requirements. Analyze large datasets, investigate anomalies, resolve data-quality issues, and maintain reporting controls and documentation. Collaborate with investment, middle-office, and data-governance teams on requirements, system changes, dashboards, testing, and process improvements. Use SQL, advanced Excel, and Power BI to enhance reporting accuracy, efficiency, and automation within a regulated financial-services environment.

Own delivery of Zinc’s security roadmap, strengthen security standards and audit compliance, implement technical controls, and mature identity and access management. The role works cross-functionally with engineering and business teams on security improvements, including Google Workspace and AWS security, endpoint protection, threat intelligence, vulnerability management, MFA, JML processes, and RBAC. Success requires strong communication, prioritization, influencing, and pragmatic security leadership.

Lead and expand Experian’s global Insider Risk Management Program by analyzing security data, detecting insider threats and data loss incidents, improving UEBA and DLP controls, developing detection logic and predictive models, building dashboards and queries, automating investigative workflows, and supporting insider risk investigations, governance, and reporting.

Perform KYC, KYB, customer risk assessments, enhanced due diligence, sanctions and PEP screening, transaction monitoring, fraud investigations, and suspicious activity reporting. The role supports ongoing reviews, financial crime controls, process improvements, and collaboration with underwriting, sales, and broker teams in a regulated lending environment.

Manage end-to-end client onboarding for offshore mutual fund investments, serving as the primary client liaison and coordinating with Sales, Compliance, Legal, and AML/KYC teams. Ensure regulatory compliance, due diligence, internal controls, timely delivery, and a positive client experience. The role also involves resolving queries, managing competing priorities, and improving onboarding processes.

Lead quality control and SME activities for KYC analysts within a managed service environment. Responsibilities include reviewing and signing off KYC files, ensuring compliance with SLAs and regulatory requirements, managing escalations, providing training, overseeing capacity and prioritization, improving processes, and identifying quality and efficiency trends. The role requires expertise in KYC, AML, PEPs, sanctions, negative media screening, client risk assessments, and client onboarding.

Business Analyst supporting a six-month regulatory remediation and customer complaints transformation programme. Responsibilities include current- and future-state process analysis, requirements elicitation, process mapping, workshop facilitation, stakeholder engagement, change impact assessment, business readiness, UAT support, governance documentation, RAID management, and operational adoption. The role requires strong financial services complaints experience, communication, influencing, and organizational skills. It is based in London with a minimum expectation of three office days per week.

Supports and improves group financial controls by analyzing SAP and finance data, investigating exceptions, identifying risks, and recommending process improvements. The role develops datasets, dashboards, and monitoring processes; explores automation, analytics, and AI; and collaborates with Finance and Technology teams on systems, reporting, governance, and control enhancements.

Develop and implement data-driven fraud prevention strategies across card, application, mule, non-card, and internal fraud. Use SAS and SQL to identify trends, assess vulnerabilities, build automated controls, write fraud rules, monitor control performance, investigate incidents, and provide strategic recommendations. Collaborate with Fraud, Operations, Cyber Security, Technology, Commercial, Analytics, and Risk teams to influence decisions and improve fraud risk management.

Work directly with insurers, brokers and MGAs to design, scope and implement rules-driven automation and workflows on the Whitespace platform. Translate business requirements into configurable solutions, validate outputs, support testing and releases, run workshops, deliver training, and collaborate with Product, Delivery and Engineering to drive adoption and improvements.

Own creative strategy for high-value advertisers by analyzing creative performance, developing actionable recommendations, and creating client-facing proposals and playbooks. Partner across Account Management, Creative Development, Ad Operations, and Product to improve workflows, campaign launch speed, and creative iteration. Present performance reviews, support client relationships, identify optimization opportunities, maintain creative knowledge repositories, and train account teams on creative best practices.

Supports investment risk management for private credit portfolios, including CLOs, leveraged loans, direct lending, and distressed investments. Identifies risk exposures, monitors limits, develops quantitative analytics, advances data libraries, and provides portfolio insights to investment teams and senior leadership. The role also supports risk governance, strategic projects, regulatory alignment, board reporting, and emerging-risk analysis.

Identifies and prioritizes high-value AI opportunities across the organization. Facilitates discovery workshops, maps processes, gathers requirements, influences senior stakeholders, and collaborates with technical teams to design AI-enabled solutions. Manages an AI initiative pipeline, supports AI adoption strategy, promotes business analysis best practices, and contributes to innovative projects involving financial crime and consumer protection.

Advise corporate clients on interest rate, foreign exchange, and other market risks. Analyze exposures, develop hedging strategies, and structure, price, and execute derivative transactions with Sales & Trading. Support financings, M&A, and strategic transactions while preparing client analyses and explaining complex financial concepts clearly.

Own financial models, budgets, forecasts, pricing and unit economics analysis, investor reporting, and M&A evaluation. Partner directly with the CEO and cross-functional teams to turn SQL- and Python-driven analysis into strategic recommendations and measurable business changes. Build data and financial tools from first principles while supporting commercial growth, planning, and decision-making.

Supports OTC derivative pricing, XVA and capital analysis for hedge fund counterparties. Responsibilities include trade-level margin analytics, collateral and ISDA/CSA workflows, risk-limit monitoring, stress and scenario analysis, deal execution support, and documentation. The role partners with Sales, Trading, Risk, Operations, Quantitative Research, and Technology to improve exposure and margin analytics tools. Strong quantitative skills, advanced Excel, Python, and familiarity with derivatives, counterparty credit exposure, funding, and margin concepts are required.

Own enterprise client relationships from deployment through expansion, partnering with sales on deals, scoping tailored pilots, drafting SOWs, facilitating workshops, defining success metrics, and leading pilot onboarding. Translate customer feedback into product decisions, build growth-team playbooks, support prospecting and ICP analysis, and monitor market and competitive dynamics. The role requires strong analytical, communication, organizational, judgment, and client-facing skills, with technical curiosity about AI products.

Gather and document client business requirements, translate them into practical solutions using FE fundinfo products, configure platform modules, advise stakeholders, and support ongoing service updates and continuous improvement. Collaborate with project managers, data relationship managers, product teams, and clients throughout project lifecycles.

Lead budgeting, forecasting, long-range planning, financial modeling, variance analysis, KPI reporting, and performance management. Partner with finance, commercial, operational, and senior leadership teams to translate financial data into strategic insights and recommendations. Ensure alignment between German reporting requirements and group expectations while improving planning tools, data quality, reporting automation, and FP&A processes.

Supports business transformation and consulting projects across investment management functions. Responsibilities include project planning, research, analysis, business cases, operating model design, transformation roadmaps, workshop facilitation, stakeholder engagement, and AI-enabled consulting initiatives. The role contributes to strategic projects involving corporate development, public markets, private assets, wealth management, and enterprise AI transformation.

Process end-to-end KYC files for onboarding and trigger events, conducting CDD, EDD, and SEDD reviews for European banking clients. Assess customer risk, perform client outreach, maintain accurate records in Fenergo, update operational trackers, repair files, escalate issues, and support quality, regulatory compliance, process improvements, and team knowledge sharing.

Analyze transaction, event, and case data to identify fraud-control gaps, anomalies, and root causes. Build detection rules and features, define fraud KPIs, model risk for new market launches, and recommend prioritized actions. Partner with product managers, data scientists, operations, investigators, compliance, and engineering teams to improve fraud detection, customer experience, and operational outcomes.

Owns complex Workday HCM configuration, reporting, testing, releases, and data integrity. Partners with People and Culture stakeholders to shape requirements, designs scalable solutions, leads global rollouts, maintains audit-ready documentation, and coaches junior analysts. The role also supports the Workday roadmap and delivers reporting and dashboards for business and board-level insights.