Jobs at Citi

Lead full-stack developer responsible for application delivery, architecture, requirements analysis, coding standards, automated testing, CI/CD, production support, and risk management. The role partners with business and management teams, translates requirements into technical solutions, oversees documentation, resolves complex application problems, and mentors developers. Java, TDD, React, system analysis, project delivery, and application development expertise are required, with cloud, messaging, and database experience advantageous.

Support financial planning and execution for Production Support: manage budgeting, quarterly outlooks, headcount and investment requests, perform month-end close and variance analysis, maintain Project Tracking System data, ensure compliance, and provide senior-management reporting and process standardization across stakeholders.

Lead development of a global equity derivatives pre-trade request-for-quote and pricing platform. Responsibilities include writing production-quality code, designing system enhancements, resolving complex technical and business problems, partnering with trading, sales, quants, and technology teams, and coaching developers. The role requires expertise in Java or Kotlin, microservices, cloud and container deployment, multithreading, Kafka, ELK, testing, and CI/CD, along with knowledge of equity derivatives, trade lifecycles, and FIX workflows.

Lead product design and scalable design-system development for enterprise financial products. Build Figma components, tokens, variables, Boolean logic, documentation, and developer handoff artifacts. Collaborate with product, engineering, research, and QA to deliver accessible, production-ready experiences, review implementations, prevent design drift, and improve design workflows using AI-powered tools. Participate in critiques and maintain high standards for usability, consistency, and visual precision.

Develop complex Java and Spring Boot applications, RESTful microservices, SQL solutions, and automated tests. Apply software engineering principles, CI/CD, source control, and code quality practices while solving complex technical problems. Lead, mentor, and manage application developers. Preferred experience includes big data, cloud-native development, container orchestration, and Jira.

Lead and develop a team of instructional designers to create scalable, compliant digital learning (WBT, adaptive modules, simulations). Oversee authoring tool use (dominKnow, Area9), champion generative AI, ensure accessibility and governance, manage intake/scoping/resource planning, monitor KPIs, coach talent, recruit, and partner with stakeholders to deliver effective learning strategies in a regulated enterprise environment.

Develop and maintain React-based user interfaces and Java backend services. Write clean, tested code, debug issues, participate in code reviews, collaborate with designers and stakeholders, and assist with database queries while following best practices.

Lead business analysis for an intraday liquidity solution within Citi’s Markets Treasury Technology team. Analyze data using Python and Excel, assess existing systems, translate business requirements into technology designs, define testing scenarios and acceptance criteria, and support software delivery through production rollout. The role partners with business, operations, technology teams, and senior stakeholders, requiring expertise in cash management, intraday liquidity, SWIFT payment and statement messages, Markets products, financial cash flows, and modern software engineering practices.

Partner with product and technology teams to research, define, design, prototype, and validate enterprise digital products. Conduct user research, create IA, personas, journeys, wireframes, and high-fidelity designs. Ensure accessibility (ADA/WCAG), maintain design systems, hand off to developers, support implementation, and mentor junior designers while delivering work on agile teams.

Leads global AI-enabled operating model transformation across Production Management. Responsibilities include developing adoption toolkits and training, coordinating regional readiness and deployment, mobilizing change champion networks, integrating AI into operational workflows, managing transformation pipelines, tracking KPIs and value realization, and partnering with engineering and business stakeholders to embed capabilities into BAU operations.

Lead design, engineering and delivery of cloud-native, Databricks/AWS-based data services. Drive migration to Databricks, build scalable Spark/Scala pipelines, optimize performance, mentor teams, manage technical delivery, and enable AI/GenAI integrations while ensuring governance, security and regulatory compliance.

Lead design, development, and optimization of high-performance ETL pipelines using Ab Initio for Oracle ledger processing. Collaborate with business and cross-functional teams, drive SDLC within Agile, perform SQL-based data investigations, build automation utilities, monitor/resolve production issues, and manage testing and deployments.

Supports regulatory transaction reporting operations by monitoring controls, reviewing validation and reconciliation exceptions, analyzing trade data, testing enhancements, tracking remediation, developing metrics, and escalating risks. Collaborates with Operations, Technology, Compliance, Audit, and business stakeholders to ensure complete, accurate, timely reporting and maintain documentation, testing evidence, signoffs, and audit trails. The role provides exposure to MiFIR, MiFID II, Swiss transaction reporting, post-trade transparency, and capital markets.

The Client Onboarding Analyst coordinates client requests and ensures accurate processing of account setups and maintenance while adhering to banking regulations.

Serve as a senior business partner to leadership, driving internal communications, people strategy, employee engagement, and cost/productivity initiatives. Manage financial deliverables (forecasts, investment process, reporting), track headcount and resources, support governance and compliance, and lead ad hoc projects to improve operational efficiency.

Architect and maintain testing frameworks, shared libraries, internal developer tooling, and CI/CD infrastructure. Automate development lifecycle processes, integrate AI for test data generation and anomaly detection, and promote shift-left quality practices. Collaborate with engineering, operations, and business teams to create scalable, testable solutions while managing technical risk and regulatory obligations.

Senior full‑stack engineer responsible for designing and delivering scalable, cloud‑native applications using Java or Python. Solve complex business problems, set coding standards, mentor mid‑level developers, integrate Gen‑AI capabilities (LLMs, prompt engineering, vector search) and third‑party Gen‑AI APIs, and collaborate with management to deploy new products while ensuring compliance and risk controls.

Lead design and implement data strategy and architectures for Funds (IBOR/ABOR, fund accounting, ETFs). Drive data modeling, governance, lineage, integration, and enable reporting while collaborating with engineering and stakeholders.

The role involves writing high-quality back-end code in Java or Kotlin, contributing to architectural decisions, and automating SDLC processes. You will lead a small team, apply AI in projects, and ensure clear communication across distributed teams.

Manage and report transactional and market data expenses, ensure accurate allocation and accruals, support month-end close and balance sheet monitoring, track financial trends, attend review meetings with stakeholders, drive process improvements and automation, and ensure compliance with policies and regulatory requirements.