Top Tech Jobs & Startup Jobs in London

Lead front-end development for a greenfield electronic FX options trading platform. Build high-performance React and TypeScript interfaces for RFQ workflows, real-time pricing, volatility surfaces, market data, and structured product pricing. Collaborate with developers, quants, and traders; improve CI/CD, testing, resiliency, performance, and telemetry; and mentor other developers.

Lead product development for post-trade Derivatives Clearing (Futures, OTC, FXPB), owning roadmap, P&L, revenue projections, and regulatory compliance. Drive platform enhancements, connectivity to clearinghouses, margin/treasury workflows, collateral optimization, MIS automation, stakeholder coordination (Operations, Technology, Sales), testing/releases, and client-focused product awareness while managing risks and control requirements.

Design, build, and operate AI-native production systems and agentic workflows at scale. Integrate LLMs and observability to automate incident detection and remediation, maintain CI/CD and IaC pipelines, champion engineering best practices, mentor teams, and ensure compliance within a regulated financial environment.

Lead the strategy and delivery of enterprise-scale Generative AI platforms and products at Citi. Translate complex AI and technical concepts into product priorities, partner with engineering, design, and business stakeholders, manage distributed workstreams, measure outcomes through metrics, and drive alignment and organizational change. The role requires strong product management experience, technical fluency, stakeholder influence, adaptability, and enthusiasm for emerging AI technologies.

Leads Citi’s global cross-border payments operations, including WorldLink and CBFT, with accountability for operational performance, resilience, risk, controls, budgets, and transformation. Develops operating models for digital assets, tokenized payments, blockchain settlement, stablecoins, and digital money. Oversees modernization, automation, regulatory initiatives, network partnerships, stakeholder governance, and large global teams across jurisdictions.

Lead design and build robust, high-quality margin and collateral systems. Develop RESTful APIs, event-driven microservices and micro-frontends, apply TDD and clean code, collaborate with product and global teams to automate post-trade processes and improve performance and resiliency.

Lead product strategy, backlog, roadmap, and delivery for automated Risk & Controls solutions within Banking Technology. Translate regulatory and compliance requirements into technical specifications, automated workflows, and engineering priorities. Partner with Risk, Compliance, Audit, and engineering stakeholders to launch resilient, control-integrated applications. Guide agile practices, validate AI-driven compliance gates, influence senior leaders, and ensure secure, ethical, and compliant product decisions.

Leads enterprise data governance strategy, risk and control frameworks, prioritization, roadmaps, maturity models, and regulatory reporting. Acts as the liaison between Finance Data and International Business stakeholders, identifying requirements, resolving data quality issues, supporting remediation, and ensuring compliance with Citi Data Governance Policy. Requires financial products knowledge, SQL querying, Excel and Python analysis, regulatory reporting expertise, and strong senior-level communication and program management skills.

Lead Citi’s Finance Business Architecture practice by defining current and future-state architectures, aligning technology investments, influencing data strategy, and guiding enterprise transformation. The role covers ERP migrations, ledger consolidation, reporting modernization, capability mapping, architecture governance, and AI/ML/GenAI adoption across Finance. It requires executive-level stakeholder influence, Finance domain expertise, and leadership of complex matrixed initiatives in a regulated financial-services environment.

Own execution of AI product roadmaps across a Citi Services business line, from use-case prioritization and business cases through delivery and commercialization. Engage enterprise clients, manage ROI and P&L tracking, coordinate AI risk and governance, define testing and explainability standards, support global rollout, and drive internal AI adoption. The role requires close collaboration with Technology, Operations, Finance, Compliance, Risk, Legal, Sales, and external partners.