Jobs at Citi

The role involves designing, developing, and implementing complex applications systems, leading technical projects, and mentoring team members while ensuring best practices in coding and problem-solving.

The role involves enhancing the stability and performance of AI and DevOps platforms, leading design and implementation of infrastructure, managing databases and messaging systems, and driving DevOps practices within the team.

Develop and maintain full-stack applications for Fixed Income trading and risk management, collaborating with traders and analysts for innovative solutions.

Assess AML risks, analyze data and regulatory changes, prepare AML risk reports, recommend policy and action (including STR filings or relationship terminations), support AML standards, investigate high-risk clients, and coach new hires while ensuring regulatory compliance and escalation of issues.

Lead applications development efforts: analyze systems, design and implement application enhancements, set coding/testing standards, resolve complex technical issues, coach mid-level developers, and coordinate with management to deliver projects while ensuring compliance and risk management.

Lead end-to-end development and deployment of AI/ML (including Agentic and LLM) solutions for enterprise-scale data reconciliation. Design models, manage pipelines and MLOps, analyze large structured/unstructured financial datasets, collaborate with engineering and business teams, maintain documentation, and deliver measurable impact across operations, risk, and finance.

Serve as a liaison between business users and IT to define system scope, gather and analyze requirements, and support system changes through implementation. Provide data analysis, identify risks and impacts, advise stakeholders, coach junior analysts, and ensure compliance and control adherence to meet business objectives.

Lead enterprise data quality strategy by designing frameworks, controls, and scorecards; integrate controls into data pipelines; use AI/ML and Generative AI for anomaly detection and automation; manage end-to-end data issue lifecycle, perform root-cause remediation, assess control effectiveness, support audits/regulatory reviews, and partner with business, technology, risk, and data teams to improve upstream data quality and governance.

Lead Databricks platform architecture and Lakehouse strategy, design production-grade Delta-based pipelines (DLT), govern Workflows/Jobs, optimize Apache Spark performance, define engineering standards, and provide technical leadership across cross-functional teams to deliver large-scale data engineering and analytics programs.

Lead design and delivery of microservices-based applications using Agile and DevOps. Build CI/CD pipelines, observability, and security practices; mentor DevOps teams; troubleshoot production issues and deliver enterprise solutions.

Provide technical and business support for Citi applications in production, ensuring stability, quality, and SLA adherence. Monitor systems, perform start-of-day checks, risk reconciliations, incident assessment/escalation, release participation, contingency planning, documentation, and post-implementation analysis. Act as SME and coach for junior staff, liaise with traders, internal tech groups and vendors, and drive stability, efficiency, and effectiveness initiatives.

Lead product and application development, design scalable microservices-based architectures, integrate AI-powered developer tools, collaborate with product and design, champion agile practices, and drive technical innovation across full-stack teams to deliver high-quality software.

Design, build, and maintain scalable Java backend services and responsive React frontends. Implement RESTful APIs, microservices, and Oracle data models. Configure AWS infrastructure, apply secure coding, lead code reviews, and use testing and observability tools to deliver enterprise-grade software.

Participate in design, development, testing, implementation, and support of application systems. Perform feasibility studies, time/cost estimates, risk and security assessments, and provide technical guidance. Advise stakeholders, coach junior analysts, and ensure compliance with policies and standards while supporting project delivery.

Participate in design, development, testing, implementation and support of application systems. Analyze complex problems, recommend solutions, manage development lifecycle, advise stakeholders, enforce security and operating standards, and coach junior analysts.

The role involves leading frontend UI development, integrating functions, managing high-impact problems, and providing expertise in application programming.

Senior business manager responsible for financial management, forecasting, budgeting and resource pricing models. Leads a team, partners with regional business managers, drives projects, enhances control frameworks, manages audits and regulatory activities, and communicates business and product requirements while ensuring compliance and risk management.

Contribute to application systems analysis and development across design, construction, testing, implementation, and support. Perform feasibility studies, estimates, risk assessment, recommend security measures, consult with stakeholders, coach junior staff, and ensure compliance with policies and standards.

Design, develop, test, and deploy Java-based application systems. Participate in feasibility, estimates, design, construction, testing, implementation, and post-implementation support. Advise users and teams, recommend security measures, coach junior analysts, and help define operating standards while ensuring compliance and risk-aware decisions.

The Senior Java Back End Developer leads advanced technology projects, collaborates with global teams, and utilizes core Java and Agile methodologies to deliver scalable applications.