Citi

Backend Engineer

• Conduct feasibility studies, time and cost estimates, IT planning, risk technology, application development, model development, and establish or implement new or revised application systems and programs
• Monitor and control all phases of the development process, including analysis, design, construction, testing, and implementation
• Provide user and operational support for applications
• Analyze complex application-development problems and evaluate business processes, system processes, and industry standards
• Recommend and develop security measures through post-implementation analysis
• Consult with users, clients, and technology groups on issues
• Recommend advanced programming solutions
• Install and assist customer exposure systems
• Ensure procedures are followed and help define operating standards and processes
• Serve as an advisor or coach to new or lower-level analysts
• Operate with limited direct supervision and exercise independent judgment and autonomy
• Act as a subject-matter expert to senior stakeholders and team members
• Assess and manage risk, compliance, controls, and reporting in accordance with applicable laws, rules, regulations, and Citi policies

Senior Programmer Analyst – Java Microservices

• Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications
• Develop solutions adhering to architectural standards using technical and business domain knowledge
• Enforce SDLC best practices and contribute to code quality through reviews
• Collaborate with Risk, Quants, FO, DevOps, and Production Support teams
• Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain
• Manage project technical aspects, including planning, governance, and ownership of initiatives
• Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines

Lead Python Engineer

• Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications
• Develop solutions according to architectural standards using technical and business domain knowledge
• Enforce SDLC best practices and contribute to code quality through reviews
• Collaborate with Risk, Quants, FO, DevOps, and Production Support teams
• Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain
• Manage project technical aspects, including planning, governance, and ownership of initiatives
• Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines

Senior Python Engineer

Account Manager

• Build and maintain trusted stakeholder relationships across assigned internal business partners
• Develop deep knowledge of internal client objectives, priorities, audience needs, decision-making environments, and organizational dynamics
• Capture and document partner signals, recurring needs, challenges, and emerging priorities
• Bring internal client intelligence into Skyline to inform planning, capability development, and proactive outreach
• Identify opportunities for earlier or broader Skyline involvement
• Maintain the account Opportunity Tracker
• Connect opportunities across teams, products, and lines of business
• Partner with Strategy, Creative, and Data & Insights to develop proactive recommendations
• Lead intake conversations and clarify business problems before execution
• Determine the appropriate Skyline solution, including deliverables, campaigns, research, or data support
• Bring Skyline experts into conversations early to shape responses
• Improve brief quality by defining objectives, audience, desired outcomes, context, and success measures
• Constructively challenge or redirect requests when a different approach adds value
• Maintain structured account plans covering priorities, stakeholders, work, relationship health, risks, and opportunities
• Lead strategic account reviews focused on intelligence, decisions, opportunities, and risks
• Coordinate with Operations on capacity, prioritization, and portfolio visibility
• Escalate account-level risks proactively
• Contribute account insights to the Internal Client Intelligence Hub and Skyline leadership reporting
• Partner with Data & Insights and Operations to communicate measurable business impact
• Connect completed work to outcomes such as satisfaction, efficiency gains, cost savings, and internal adoption
• Identify case studies, proof points, and leadership narratives
• Recommend next steps and future opportunities based on account insights and performance information
• Help marketing partners understand Skyline's full value beyond individual deliverables
• Assess risk, drive compliance with applicable laws and policies, apply ethical judgment, and escalate, manage, and report control issues

Account Manager – Internal Creative Agency

• Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications
• Develop solutions according to architectural standards using technical and business domain knowledge
• Enforce SDLC best practices and contribute to code quality through reviews
• Collaborate with Risk, Quants, Front Office, DevOps, and Production Support teams
• Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain
• Manage technical aspects of projects, including planning, governance, and ownership of initiatives
• Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines
• Perform other job-related duties as assigned

Full-stack Engineer

• Design, develop, and maintain high-quality UI components for the Prime Brokerage technology platform
• Own the entire development lifecycle from concept to production
• Provide technical leadership for an agile development team
• Champion Continuous Integration and Continuous Deployment (CI/CD) best practices
• Drive developer-led automated testing initiatives
• Improve SDLC, agile, and DevOps processes using KPIs including DORA metrics
• Lead design, planning, and estimation discussions with team members, department partners, and business stakeholders
• Conduct system analysis and architecture design aligned with business requirements, technical standards, and the architecture blueprint
• Facilitate requirements gathering and translate complex business needs into technical specifications
• Oversee project and technical documentation
• Identify and mitigate risks throughout the SDLC
• Develop standards for coding, testing, debugging, and implementation
• Oversee production support, on-call rotations, post-mortems, and root-cause resolution
• Improve performance, scalability, and reliability
• Advise and coach mid-level developers, analysts, and graduates
• Partner with management teams to integrate functions and define system enhancements
• Resolve high-impact problems and projects through evaluation of complex business and system processes
• Assess risk, drive compliance, and escalate and report control issues transparently

Senior Full-Stack Engineer – React/Angular, Java

Analyst

• Partner with multiple management teams to integrate functions and identify system enhancements for new products and process improvements
• Resolve high-impact problems and projects through evaluation of complex business processes, system processes, and industry standards
• Provide expertise in applications programming and ensure application design adheres to the overall architecture blueprint
• Develop standards for coding, testing, debugging, and implementation
• Build comprehensive knowledge of how business areas, architecture, and infrastructure integrate to accomplish goals
• Analyze issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
• Assess risk in business decisions and drive compliance with applicable laws, rules, regulations, and policies
• Escalate, manage, and report control issues transparently

Applications Development Technology Lead Analyst – VP

Vice President

• Contribute to the development of new collections and recovery strategies and monitor and enhance existing strategies
• Work with stakeholders on strategy implementation, regulatory approvals, and seamless operational execution
• Monitor portfolios and strategies after implementation and identify gaps
• Work on policy governance and mitigate issues arising from leakage or policy implementation gaps
• Support all LoBs, including PIL and USRB
• Use SAS in a UNIX environment to perform risk, financial, and data analyses
• Research customer and management queries using risk systems and data
• Support ad-hoc risk policy analyses and projects
• Participate in developing, testing, and optimizing credit policies
• Assist with implementation of credit policies, processes, and related initiatives
• Manage risk levels across the credit spectrum, multiple products, and retail formats
• Prepare risk management presentations for senior management
• Support regulatory exams
• Drive compliance, apply sound ethical judgment, and escalate, manage, and report control issues transparently

Assistant Vice President, Credit Risk Analytics – Collections and Recovery

General

• Ensure the accuracy, integrity, security, and quality of credit risk data
• Implement robust data governance frameworks and controls
• Manage data integration from various sources, especially third-party credit bureaus
• Ensure adherence to legal and regulatory standards, including FCRA, OCC, CFPB, and Federal Reserve requirements
• Apply compliance across data processes, systems, and reporting
• Identify, assess, and mitigate risks related to data quality, credit risk models, and regulatory non-compliance
• Collaborate with Risk, IT, Compliance, Legal, Finance, and Business stakeholders
• Lead initiatives to drive automation, enhance efficiency, and improve scalability of data management, testing, and compliance
• Leverage emerging technologies such as AI/ML
• Contribute to the development and implementation of credit risk strategies
• Ensure operational excellence in credit risk processes

Consumer Credit Risk Officer

• Develop client-level analytics to identify and pursue optimization opportunities
• Lead agendas with Client Treasurer and Client Analytics teams on allocation methodologies and strategy
• Manage end-to-end technology implementation of analytics, metrics, and reporting tools
• Oversee analytical projects from data acquisition through delivery and follow-up
• Perform data acquisition and analysis to generate actionable insights and support strategic initiatives
• Lead escalation and follow-up for data quality issues
• Design, develop, and implement performance metrics
• Provide analytical support and ad-hoc pricing for global clients
• Own the GSIB and Client Financials modules in the LMS data-mart (Clearview)
• Contribute subject matter expertise on client liquidity value, client pricing, client financials, and Services data architecture
• Support product development through technical coordination, control execution, and performance monitoring
• Perform issue management, UAT testing, and stakeholder coordination for commercialization efforts

LMS Client Analytics & Optimization Lead – VP

• Develop comprehensive Rewards strategy recommendations based on customer insights, financial impact forecasting, competitive landscape, and regulatory environment
• Evaluate new initiatives through financial sizing, risk/reward tradeoff analysis, customer impact assessment, and other key factors
• Retrieve data and conduct data-driven analytics using analytical tools, software, and techniques
• Develop forecasting and tracking capabilities
• Ensure quality control in Rewards processes
• Understand regulatory implications associated with Rewards policy and develop mitigation/opportunity strategies
• Communicate clearly and effectively with business partners and senior leaders
• Partner across Product, Finance, Risk, Legal, Compliance, Technology, and Operations to drive Rewards strategies for USCC
• Report to the Rewards Reengineering Analytics Lead

VP – Rewards Reengineering, Strategy and Analytics

• Develop detailed IT work plans, schedules, project estimates, resource plans, and status reports
• Interface with senior project staff and client senior management teams regarding project status
• Recommend and oversee process improvements
• Evaluate complex business processes, system processes, and industry standards
• Provide expertise and advanced understanding of IT project leadership principles
• Integrate technology areas such as architecture and infrastructure to achieve business objectives
• Influence strategic functional decisions through advice, counsel, or provided services
• Act as advisor or coach to new or lower-level analysts and allocate work
• Conduct sophisticated analysis to define problems and develop innovative solutions
• Persuade and influence others through communication and diplomacy
• Assess and manage risk, drive compliance, apply ethical judgment, and escalate, manage, and report control issues transparently

IT Project Technology Lead – VP

Tech Lead

• Execute the delivery roadmap for generative and agentic AI projects, aligning work with business objectives and timelines
• Manage project lifecycles from ideation and scoping through deployment and post-launch support
• Build, mentor, and manage a high-performing team of AI engineers and specialists
• Oversee design, development, and deployment of robust, scalable, production-ready GenAI and agentic applications
• Drive design and delivery of agentic workflows and multi-agent systems
• Establish standards for agent harnesses, orchestration patterns, and reliable long-running agent execution
• Manage stakeholder expectations, communicate project progress, identify and mitigate risks, and ensure on-time, on-budget delivery
• Collaborate with Data Mesh, Cloud Architecture, MLOps/LLMOps, and business unit teams
• Drive adoption of software development, CI/CD, LLMOps, agent observability, Agile/Scrum, and project management best practices
• Implement governance and ethical AI frameworks, including guardrails, agent isolation/sandboxing, responsible AI practices, data privacy, and corporate policy compliance

Senior Lead, GenAI Tech

• Gestionar uno o más equipos de Desarrollo de Aplicaciones y realizar tareas de personal
• Supervisar técnicamente sistemas y aplicaciones
• Revisar y analizar soluciones técnicas propuestas
• Contribuir a estrategias de desarrollo de aplicaciones
• Coordinar el levantamiento y análisis de requerimientos
• Coordinar la evaluación de requerimientos técnicos
• Asegurar mejores prácticas de programación e integración
• Gestionar la comunicación con arquitectos, analistas de negocio, equipos de implementación y líderes de proyecto
• Liderar desarrollos propios y de terceros para los aplicativos a cargo
• Asegurar la ejecución de proyectos y el cumplimiento de deadlines
• Validar la calidad técnica de features
• Revisar estándares de desarrollo de equipos y proveedores
• Coordinar equipos técnicos, proveedores y personal de Testing
• Establecer planes de trabajo y cronogramas
• Documentar y cumplir requerimientos administrativos técnicos para el pase a PRO
• Validar mejoras, enhancements y proyectos de conectividad
• Aportar conocimiento técnico durante incidentes
• Proponer acciones de mejora para BAU e incidentes
• Acompañar a equipos técnicos y de soporte durante postproducción
• Dar seguimiento y asegurar RCAs y planes de remediación
• Evaluar riesgos, proteger a Citigroup, sus clientes y activos, y promover el cumplimiento normativo

IT Technical Lead – Compras

Artificial Intelligence

• Identify, assess, and prioritize AI opportunities across the functional organization
• Understand functional processes, pain points, and emerging AI capabilities to connect business needs with practical solutions
• Partner with internal function heads to establish ideation sessions and working forums
• Refine opportunities for evaluation, sponsorship, and execution
• Identify common work patterns and leverage existing enterprise AI capabilities and solutions
• Share successful use cases, best practices, and reusable approaches with peer AI Implementation Leads and enterprise teams
• Drive adoption of proven AI solutions to accelerate value delivery, improve consistency, and reduce duplicated effort
• Support implementation through central coordination teams across functional teams
• Lead AI adoption through communications, demonstrations, workshops, office hours, and engagement activities
• Establish forums encouraging idea sharing, collaboration, and innovation
• Share success stories, lessons learned, and practical applications through central communication capabilities and the VOE program
• Promote consistent application of AI policies, standards, and frameworks
• Support Responsible AI practices, controls, standards, and data management requirements
• Align AI initiatives with governance processes and risk management expectations
• Manage the end-to-end lifecycle of AI initiatives from opportunity identification through implementation, adoption, and value realization
• Report to Citi’s Head of Procurement and Third-Party Management and engage with CEC leadership, senior process leaders, AI stakeholders, and technology partners

Senior Programmer Analyst – Java Microservices

Lead Python Engineer

Senior Python Engineer

Account Manager – Internal Creative Agency

Senior Python Engineer

Senior Full-Stack Engineer – React/Angular, Java

Applications Development Technology Lead Analyst – VP

Assistant Vice President, Credit Risk Analytics – Collections and Recovery

Consumer Credit Risk Officer

LMS Client Analytics & Optimization Lead – VP

VP – Rewards Reengineering, Strategy and Analytics

IT Project Technology Lead – VP

Senior Lead, GenAI Tech

IT Technical Lead – Compras

Director – AI Implementation Lead