Top Analyst Jobs in London

Lead analytics for Wise Business Sales and Total Service teams by building dashboards, forecasts, cohort reports, and performance analytics. Optimize sales and service funnels, portfolio performance, conversion, churn prevention, capacity planning, and GTM strategy. Define KPIs and SLA analytics, conduct market sizing, and partner with Marketing and Analytics Engineering on lead management and reliable data pipelines, including Salesforce integrations.

Drive product analytics for Wise’s regional expansion initiatives. Develop KPIs, analyze product launches through forecasting and experimentation, build data assets, and provide actionable insights to Product Managers and Engineers. The role influences product decisions, improves performance metrics, and translates complex data into compelling narratives. Requires Python, advanced SQL, BI tools, event analytics experience, strong stakeholder communication, and the ability to work independently in complex, data-driven environments.

Owns client onboarding and administration processes, including AML checks, bank-detail changes, queue management, reconciliations, and issue resolution. Maintains procedures, monitors compliance and performance, identifies risks and data errors, presents findings, supports training, and partners on workflow automation and continuous improvement.

Lead analytics for customer operations: build capacity planning and forecasting models, own data pipelines, develop predictive and causal inference analyses, track KPIs, standardise processes, and partner with operations, WFM, quality, and training to drive data-driven improvements.

Leads an ISA Transfers team division, overseeing cash and asset transfers across ISA, JISA, LISA, and GIA products. Responsibilities include processing transfers through Equisoft, banking and withdrawals, instruction verification, quality control, reconciliations, operational issue resolution, transformation initiatives, process improvement, resource planning, and team development.

Own product analytics for Wise Platform’s Send for Partners product. Build scalable data models and products, manage KPIs, develop dashboards, conduct opportunity sizing and market research, and provide recommendations for product roadmaps. Partner closely with Product, Engineering, Commercial, and Finance to translate ambiguous business problems into insights, prioritize initiatives, improve payment volumes, reduce friction, and increase margin.

Own the analytical direction for sustainability and pricing across Global Product. Build unit economics, cost and revenue allocation frameworks, profitability monitoring, and pricing insights. Lead complex analytical initiatives, create scalable data models and monitoring solutions, and translate commercial analysis into strategic recommendations. Partner with Product, Finance, Commercial, and Engineering while mentoring analysts and influencing senior stakeholders on growth, customer value, competitiveness, and contribution margins.

Own analytical direction across a broad domain, identify high-value problems, lead complex initiatives, design measurement and experimentation frameworks, and build scalable data solutions. Partner with senior cross-functional stakeholders across Product, Engineering, Operations, and other functions to influence strategy and decision-making. Champion SQL, data modelling, and analytical engineering excellence while mentoring analysts and raising technical standards without direct people management.

Lead analytics for Wise’s Servicing Platform, balancing financial crime prevention with customer experience. Build data pipelines, reports, visualizations, and scalable models; expose insights to product teams; coordinate analytical roadmaps; and partner with product, engineering, data science, and external vendors. The role supports machine-learning risk models, scam reduction initiatives, and strategic cross-functional projects using large-scale datasets.

Leads strategic analytics initiatives from conception through delivery, solving complex business problems and influencing senior leadership. Designs scalable SQL and dbt data infrastructure, establishes technical best practices, and owns analytical roadmaps. Partners with stakeholders, presents insights, resolves ambiguity, and mentors analysts while advancing technical excellence and continuous learning across the Operations Analytics team.

Lead analytics for Global Product growth by building growth attribution models, measuring incremental impact, automating reporting and experimentation analysis, and understanding product adoption and long-term customer value. Partner with Product, Engineering, and Analytics leaders to influence investment decisions and growth strategies. Build scalable analytical models and AI-enabled workflows while mentoring analysts and setting technical standards across the organization.

Monitor, triage, investigate, and respond to escalated cybersecurity alerts and incidents in a security operations center. Conduct root cause analysis, digital forensics, threat hunting, and malware analysis while developing incident-response playbooks and detection use cases. Collaborate with security engineering, threat intelligence, insider threat, and managed SOC teams to improve monitoring, automate response, mitigate risk, and strengthen critical payments infrastructure security.

Support investment teams by acquiring, cleaning, and analyzing multi-source data to test investment theses, identify inflection points, and present research. Learn fundamental investor approaches, build decision-support tools, and communicate findings clearly to Sector Data Analysts and investment teams.

Commodities Analysts generate commodity investment ideas through fundamental research and data analysis, focusing on modeling supply and demand and improving data quality.

Develop and improve quantitative models for investment strategies, conduct statistical analysis, and implement trading models. Requires strong analytical skills and relevant degree.

Supports Hilton hotels with online distribution operations and incremental revenue opportunities. Analyzes booking, availability, and rate trends; provides revenue insights and systems support; coordinates hotel activations and channel communications; conducts audits and resolves system issues; creates training materials; and identifies process efficiencies across CRS, GDS, and OTA channels.

Supports capital markets client onboarding by collecting and reviewing KYC documentation, assessing ownership structures and risk, conducting PEP and sanctions screening, managing static data, coordinating compliance approvals, maintaining transaction files, completing annual KYC refreshes, and reviewing transaction documents. The role liaises with clients, Group Compliance, transaction parties, and international colleagues while handling enquiries and meeting defined deadlines.

Manage and reconcile monthly payrolls across EMEA countries, ensuring accurate data, compliance with employment and tax legislation, internal controls, payroll funding, payments, general ledger distribution, and statutory filings. The role coordinates with HR Operations, payroll partners, and stakeholders; resolves payroll inquiries; supports reporting and implementations; and contributes to international payroll processes across diverse business environments.

Generate actionable insights supporting company and customer decisions through curated datasets, metrics, statistical modeling, and deep-dive analysis. Analyze growth drivers, customer segments and cohorts, and the financial impact of marketing and product initiatives. The role requires strong SQL, quantitative analysis, data visualization, stakeholder management, and the ability to influence business direction.

Lead analytics for FinCrime operations by building capacity-planning forecasts, owning reliable data pipelines, developing predictive and causal models, analyzing costs and operational health, tracking strategic initiatives, and establishing KPI frameworks. The role partners with workforce management, quality, training, knowledge management, product, design, and engineering teams to optimize processes, improve customer outcomes, and standardize operational planning and reporting.

Partners with Sainsbury’s and Premium Sales teams to deliver revenue and profit targets through financial analysis, forecasting, reporting, promotional investment evaluation, joint business planning, and commercial decision support. The role ensures financial control, revenue recognition, audit compliance, process improvement, stakeholder influence, and capability development across the Commercial Finance organization.

Serve as the primary data partner for Wise’s Scalable Platform product team. Analyze financial, regulatory, and operational risks; build controls and assurance monitoring; maintain data pipelines; forecast outcomes; assess unit economics; and influence product roadmaps, pricing, and operational decisions through strategic, statistically rigorous analysis.

Provides hands-on technical leadership for structured finance credit risk modeling across RMBS, CMBS, ABS and structured credit. Responsibilities include developing Python and C++ modeling libraries, leading quantitative projects, conducting research and data analysis, reviewing models and mathematical derivations, collaborating across ratings and technology teams, mentoring analysts, and delivering transparent, interpretable credit models and documentation.

Lead analytics for Customer Support by owning key metrics, measuring AI and self-service impact, running experiments and causal analyses, supporting capacity planning, and translating insights into operational and product decisions. Build and maintain SQL and dbt data models and pipelines, monitor automation quality, evaluate cost and customer outcomes, and communicate persuasive recommendations to senior stakeholders.

Supports the Chief Data and Analytics Officer by identifying operational risks, designing and evaluating controls, managing control issues and remediation, coordinating audits, supporting regulatory engagements, and overseeing governance and reporting. The role presents updates to senior management, collaborates with control managers, and helps establish best practices for data, AI/ML, and finance control environments.