Jobs at Citi

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.

Define and evolve Citi’s Finance business architecture across current and future states. Map finance processes, capabilities, data dependencies, and technology investments; support ERP, ledger, reporting, and finance transformation initiatives; guide architecture governance and engineering alignment; and evaluate AI, ML, and GenAI opportunities. The role also contributes to capability mapping, maturity assessments, data governance, architecture repositories, and continuous improvement while engaging finance SMEs, technology teams, and senior stakeholders.

Design and build Python services, pipelines, testing frameworks, data analysis tools, and lifecycle management systems for quantitative market and credit risk models. Implement auditable AI/ML and LLM-based automation for documentation, data quality, testing, and workflow assistance. Collaborate with quants, validators, data engineers, and program leaders while promoting secure engineering practices, mentoring developers, and contributing to technical design.

Lead Citi Issuer Services’ global AI agenda by managing the AI product roadmap, delivering client-facing and internal productivity solutions, evaluating investments through ROI and P&L analysis, and embedding responsible AI, model risk, data governance, explainability, fairness, and regulatory controls. Build consensus across product, technology, operations, finance, legal, compliance, and risk teams; oversee agile delivery, global rollout, stakeholder advocacy, and organizational AI adoption.

Build and lead production-grade Generative AI software for document extraction, classification, translation, fraud detection, and workflow optimization. Own architecture, technical roadmaps, scalable services, model and prompt evaluation, testing, code reviews, and regulatory requirements including resilience, explainability, and auditability. Mentor engineers and collaborate with Risk, AI platform teams, and senior stakeholders in a regulated banking environment.

Leads strategic projects from problem definition through solution development, stakeholder buy-in, and implementation. Manages client service, builds executive relationships, identifies additional value opportunities, solves complex ambiguous problems, and advises senior stakeholders. Contributes to recruiting, coaching, and team improvement while managing risk, compliance, and competing priorities. Applies financial modeling, financial statement analysis, quantitative analysis, and business judgment within financial services.

Leads Citi’s global Fund Services Middle Office function, owning its P&L, IBOR product, strategy, pricing, vendor ecosystem, operating model, and transformation roadmap. Drives technology-enabled change, client implementations, data architecture, Agile delivery, risk controls, and operational scalability across global markets. Partners with operations, technology, finance, risk, legal, compliance, and clients to improve performance, develop innovative solutions, and grow the business.

Owns credit utility and governance for Citi Services products across Payments, Investor Services, and Issuer Services. Leads intraday credit processes, enterprise governance, approval frameworks, product roadmaps, design workshops, business cases, and platform architecture coordination. Partners with Product, Technology, Operations, Risk, and senior leadership to deliver credit consumption transformations, manage operational risk, and establish scalable future-state capabilities across a global, regulated financial institution.

Lead Citi’s European Clearing product strategy across London or Dublin, covering capability development, payment-product risk, pricing, client propositions, regulatory compliance, product approvals, sales enablement, and market-share growth. The role analyzes business results, supports senior management, provides product expertise and training, collaborates with global and regional teams, and ensures operationally robust product delivery while strengthening client satisfaction and profitability.

Own execution of Citi’s AI product roadmap within a global financial-services business line. Prioritize and deliver AI use cases from business case through commercialization, engage enterprise clients, manage ROI and P&L tracking, and coordinate responsible AI governance, testing, risk, explainability, audit readiness, and regulatory controls. The role also drives internal AI adoption, post-deployment process changes, ecosystem partnerships, and global stakeholder alignment across Technology, Operations, Risk, Compliance, Legal, Finance, and Sales.

Build and deliver enterprise GenAI platforms and full-stack applications using frontend, backend, APIs, cloud services, and platform components. Contribute to technical direction, DevSecOps practices, distributed-system architecture, automation, and developer-platform adoption. Collaborate with technology and business partners, drive engineering excellence, and mentor colleagues. The role requires experience with AI-enabled solutions, cloud-native development, databases, API integration, scalability, resiliency, and performance engineering.