Top Business Analyst Jobs in London

Leads product ownership and business analysis for a global investment reconciliation program. Responsibilities include defining workflows and requirements, maintaining BRDs, prioritizing technology delivery, coordinating large-scale testing, managing defects and releases, aligning business and technology stakeholders, and leading operations professionals. The role also promotes controlled use of AI tools to improve requirements, testing, analysis, and knowledge management.

Lead business analysis and project delivery for global trade and transaction reporting transformation programmes. Translate regulatory obligations into business, functional, technical, and data requirements; support reporting implementations and remediation; and govern data lineage, reconciliations, exceptions, controls, and data quality. Partner with compliance, operations, technology teams, and vendors while using approved AI tools responsibly to improve analysis, automation, delivery efficiency, and reporting quality.

Lead discovery and design for large transformation programmes: map current processes, define requirements, design future-state workflows, analyse systems and data, support testing and implementation, and drive stakeholder alignment to ensure successful adoption and measurable business outcomes.

Lead business analysis for commercial and specialty insurance transformations. Elicit, analyse, and document requirements; map current/future processes; design target operating models; facilitate stakeholder workshops; produce user stories and acceptance criteria; support backlog management, testing/UAT, and change impact assessment to enable underwriting, claims, and policy administration improvements.

Own complex analytical problems across credit, acquiring, and business account products. Build NPV, unit economics, customer lifetime value, metrics, and experimentation frameworks using SQL and Python. Analyze customer behavior, product performance, and portfolio economics to support pricing, segmentation, product strategy, and investment decisions. Partner with cross-functional teams, communicate insights to senior stakeholders, challenge assumptions, and improve analytical methodologies and business performance.

Supports Mastercard’s global commerce enablers portfolio by analyzing customer, transaction, market, volume, and revenue data to identify growth opportunities. Owns opportunity pipeline tracking, dashboards, business cases, proposals, and commercial models. Supports strategic customer engagements, account initiatives, portfolio reviews, and scalable growth programs while translating complex data into actionable business insights.

Lead supply chain analytics and planning for payment terminals: manage S&OP, set stock targets, track KPIs/SLAs, monitor budgets, build financial make-or-buy models, and model workforce capacity to optimise fleet efficiency, cost and service.

Deliver business change projects for wealth and asset management clients. Responsibilities include stakeholder engagement, process mapping and re-engineering, customer journey analysis, requirements gathering, workshop facilitation, functional specifications, user stories, data interpretation, change implementation, test planning, and User Acceptance Testing coordination. The role also involves recommending improvements, supporting Agile adoption, collaborating with third parties, and managing teams for senior-level positions.

Supports investment and portfolio management teams through financial and commercial analysis, management reporting, governance reporting, supplier fee tracking, cost-to-serve analysis, and strategic decision support. The role also improves workflows and reporting through automation and AI, coordinates senior stakeholder reports, and contributes to acquisition analysis, business development, and ad hoc projects.

Translate business and regulatory requirements into reference data models, datasets, data quality rules, workflows, and documentation. Partner with architects and stakeholders across Trading, Compliance, Operations, and Research. Serve as a subject matter expert on equity and ETF reference data, corporate actions, identifiers, lifecycle processing, and downstream impacts. Support data interrogation using SQL and contribute to system delivery, data dictionaries, entity relationship diagrams, requirements specifications, and exception-management metrics.

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.

Business Analyst serving as the bridge between financial services clients and software development teams. Responsibilities include eliciting and documenting requirements, creating user stories and functional specifications, mapping processes, supporting Agile delivery and UAT, advising clients, managing scope, and delivering training and demonstrations. The role requires knowledge of capital markets, digital assets, tokenisation, market infrastructure, system integrations, APIs, and data flows, along with strong stakeholder and documentation skills.

Gather, analyze, and document technical and business requirements for distributed ledger product initiatives and client delivery projects. Translate needs into technical specifications, user stories, acceptance criteria, process flows, and data models. Collaborate with product, engineering, testing, and client teams throughout the SDLC, support backlog refinement and sprint planning, facilitate requirements workshops, maintain traceability, and contribute to change control, design governance, and process improvement.

Client-facing SFTR Business Analyst and Subject Matter Expert supporting institutional clients with regulatory reporting readiness. Responsibilities include validating scope against ESMA guidance, analyzing BRS Aladdin source data, mapping fields to SFTR specifications, resolving data gaps, leading senior stakeholder workshops, producing business requirements documents and test scripts, and supporting QA/UAT. The engagement is London-based with three onsite days weekly and is described as a contract engagement.

Support CAS platforms (LogicGate, Onit, NetDocuments) by migrating manual processes into structured workflows. Elicit and document requirements, user stories, and acceptance criteria. Drive system enhancements, configuration, testing/UAT, issue resolution, and small-project delivery. Partner with legal, risk, compliance, product and engineering to improve controls, data integrity and operational efficiency.

Graduate Business Analyst joining Arcadis’s Enterprise Asset Management consulting team. The role supports IBM Maximo and related software implementations for asset-intensive clients across rail, utilities, water, defence, and municipalities. Responsibilities include client engagement, asset management, data modelling and analytics, stakeholder consultation, problem solving, and delivering project work. The two-year graduate programme provides technical, business, and professional development while graduates contribute to real client projects.

The AI Business Analyst will facilitate AI integration in wealth and asset management, engage stakeholders, support agile delivery, and drive responsible AI adoption.

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

Owns business analysis from discovery through delivery, including stakeholder engagement, requirements, user stories, acceptance criteria, process flows, backlog readiness, workshops, testing, and outcome validation. The role improves processes through AI and automation, evaluates opportunities responsibly, and supports product, business, and technology teams working with complex data and pricing platforms.

As a Senior Business Analyst (Valuations), you will analyze economic value, build models, conduct testing, and collaborate with cross-functional teams to inform business decisions.

Lead product analytics for Wise’s business onboarding experience. Own KPI frameworks, analyze funnels and customer behavior, lead experimentation, build trusted dashboards and data products, and recommend roadmap improvements. Develop LLM-ready data foundations with clear entities, event schemas, metadata, governance, documentation, and evaluation datasets. Partner with product managers, engineers, designers, and senior stakeholders to reduce friction, improve conversion, increase operational efficiency, and strengthen risk controls.

Derive actionable insights from data to guide strategy and product decisions; establish KPIs and communicate progress through dashboards and narratives. Build automated data pipelines and self-service BI dashboards, identify high-impact opportunities, and lead cross-team analysis of customer friction, retention, and servicing operations for Wise Business.

Partners with People & Culture stakeholders to gather and document business requirements, define user stories and acceptance criteria, map processes, and support Agile solution delivery. Acts as the liaison between business stakeholders, product owners, and technical teams while identifying process improvements, dependencies, risks, and impacts across HR technology solutions, particularly SAP SuccessFactors.

Lead product analytics for Wise Business: define and track KPIs/OKRs, build data logging and automated pipelines, run deep-dive analyses, quantify feature impact for prioritization, and translate findings into clear recommendations for product and leadership.

The Customer Business Analyst supports client delivery by leading discovery workshops, translating business needs into requirements and user stories, designing AI-driven workflows, and analyzing product performance. The role owns test strategies, acceptance criteria, UAT, AI output validation, and continuous improvement. It requires business analysis experience, preferably in insurance, strong stakeholder management, client-facing workshop facilitation, and practical experience with AI tools, prompt engineering, and LLM limitations.