Top Analyst Jobs in London

Drive analytics for Payment Operations to improve payment quality and efficiency. Build attribution models for quality lapses, incorporate AI into review processes, expose and visualise payment data, create reports and pipelines, track KPIs, and collaborate with senior stakeholders to turn insights into operational improvements.

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.

Lead analysis of operational data to support decision-making. Build dashboards and reports, partner with operations stakeholders to identify process improvements, monitor KPIs, and inform strategic initiatives.

Lead CPQ and Quote-to-Cash transformation, partnering across Sales, Finance, Legal, Product, Billing, and Tech. Identify AI/automation opportunities, define future-state CPQ/process roadmaps, own business process and data flows, translate requirements into deliverables, drive delivery through UAT and adoption, and mentor analysts to improve Revenue Operations.

Build and maintain payments metrics, reporting and KPI frameworks to inform product decisions. Translate data into executive-ready narratives, monitor product health, partner with Product, Engineering and Analytics, own end-to-end initiatives and maintain data dictionaries and quality.

Analyzes adversary intrusions, malware, files, and events to create and improve machine-learning security detections. Reviews false positives and negatives, investigates emerging threats, analyzes data at scale, and coordinates with internal teams on product and service improvements. The role also addresses customer questions about detection-model efficacy and may require on-call coverage several times annually.

Support senior analysts on the Hardware and Payments equity research team by maintaining valuation models and databases, preparing data-driven materials and publications, contributing to stock and thematic reports, and communicating research insights to institutional clients, company contacts, and internal stakeholders while staying current on industry developments.

Lead analytics work for FinCrime product: size opportunities, model impact on risk/friction/cost, design scalable data models and platforms, build robust pipelines and decision-ready dashboards, create self-serve data assets, partner with Product/Engineering/Ops/Compliance, and translate stakeholder questions into analytical plans and recommendations.

As a Quantitative Research Analyst Intern, you will model markets, develop algorithms, and conduct statistical analysis to enhance trading strategies.

Lead CRM analytics for Personal and Business segments: design measurement frameworks, run campaign and lifecycle analyses, apply A/B and incrementality testing, build segmentation models, maintain dashboards, ensure data quality, and partner with CRM, Product, and Data teams to optimise customer engagement and retention.

The Staff Data Analyst leads complex projects, develops scalable data solutions, and mentors other analysts while driving strategic initiatives at Wise.

Support senior sales in corporate FX and interest rate products, manage a corporate client portfolio, identify new business, collaborate with Trading/Structuring/IB, monitor markets, prepare reports, and ensure regulatory compliance.

Monitor, identify, and enforce against online intellectual property infringements for major brands using proprietary tools and internet research. Create reports, collaborate globally, follow processes, and provide high-quality customer service while contributing to process improvements.

Support clients to design and implement security and compliance controls across cloud environments. Configure monitoring and MDM, run audits, risk assessments, tabletop exercises, map frameworks (SOC 2, ISO 27001, GDPR, DORA), manage evidence and auditor engagements, triage vulnerabilities, and produce security documentation and reports.

Support Sales as a Deal Desk specialist: structure and review complex orders, manage contract signature and Salesforce data integrity, partner cross-functionally to ensure accurate pricing, billing, and order management.

As a Quantitative Research Analyst, you will develop and test automated trading strategies using statistical techniques and algorithms, conduct research, and analyze data.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

Lead Product Analyst responsible for driving KPIs and analytics for Europe & UK regional expansion. Partner with PMs and analysts to support product launches with forecasting, experimentation, and data-driven recommendations. Build and maintain data assets, monitor feature impact, and present insights to stakeholders to improve product metrics and scale across markets.

Lead Product Analyst for Wise Platform Cash Management builds models, KPIs and data products to optimise post‑funding, conversions and treasury. Owns analytics end-to-end, crafts dashboards, performs opportunity sizing, supports discovery, and partners with Product, Engineering, Commercial and Finance to drive volume, reduce friction and increase margin.

Support European credit coverage by analyzing company fundamentals, earnings and disclosures; build and maintain financial models, forecasts and valuation frameworks; draft research notes and sector publications; deliver market updates and present investment views to internal and external clients; collaborate with sales, trading and management teams to provide timely market intelligence.

Lead analytics for Payment Operations risk: define KRI frameworks, set risk thresholds, build control assurance and reconciliation models, create reliable data pipelines and visualisations, and partner with risk and auditors to prevent financial loss and ensure compliance.

Lead design, administration, and improvement of global benefits programs. Manage vendor/broker relationships, plan renewals, implementations, day-to-day operations, escalations, reporting, compliance, and cross-functional coordination across PEO/EOR and legal entity arrangements. Analyze utilization and cost data, streamline processes, and support benefits during country expansions.

Lead EMEA insider risk investigations and assessments, identify threats to people and assets, conduct interviews and evidence analysis, brief stakeholders, develop mitigation strategies and training, and collaborate with InfoSec, HR, Legal, and IT to strengthen insider risk controls and awareness.

Support wealth platform and operations transformation by gathering and documenting business and data requirements, creating user stories and backlogs, mapping current and target operating models, defining integration and data needs, and collaborating with stakeholders and platform providers to ensure aligned technical delivery.

The role involves driving transformation across investment platforms using Aladdin, supporting implementation, integration, and data migration, collaborating with stakeholders, and optimizing workflows.