Technology Lead Python Data Engineer - Vice President

About this role

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. 

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.    Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together. 

Discover Your Future in Credit Risk Technology Build systems that shape credit decisions—at scale. Join a fast‑moving Credit Risk Technology team where modern engineering, data, and AI come together to drive real‑world financial impact. We operate with a startup mindset—ownership, speed, and experimentation—within the rigor and responsibility of a global financial institution. You’ll help design and deliver mission‑critical platforms that support credit risk assessment, analytics, and decisioning across the firm.

Job Overview

The Technology Lead Python Data Engineer   is a senior engineering leadership role focused on building and evolving modern, scalable platforms for credit risk management. You will lead application design and development while partnering closely with risk, data, and platform teams to deliver systems that are performant, resilient, and compliant. This role blends hands‑on development, system architecture, technical leadership, and AI‑enabled innovation, with a strong emphasis on microservices, cloud‑native design, and enterprise‑grade governance.

Key Responsibilities • Architect, design, and deliver scalable, Python‑based applications supporting credit risk analytics, workflows, and reporting.

• Partner with risk, product, and technology leadership to integrate platforms, identify enhancements, and enable new products and process improvements.

• Resolve high‑impact, complex initiatives through deep analysis of business processes, system flows, and industry standards.

• Ensure solutions adhere to enterprise architecture, data, security, and infrastructure blueprints.

• Establish and enforce engineering standards for coding, testing, CI/CD, debugging, and production readiness.

• Design and evolve microservices‑based architectures, ensuring scalability, resiliency, observability, and maintainability.

• Apply AI and GenAI capabilities to modernize workflows, automate analysis, and unlock new insights in credit risk.

• Serve as technical leader and mentor, coaching mid‑level engineers and analysts and allocating work as needed.

• Apply sound risk and control judgment, ensuring compliance with laws, regulations, and policies while safeguarding clients, data, and the firm.

How You’ll Work • Operate with a startup mindset: ownership, bias for action, and pragmatic innovation.

• Deliver with enterprise discipline: stability, controls, transparency, and audit readiness.

• Balance experimentation with responsibility in a high‑trust, high‑impact environment.

• Adapt quickly as priorities change while maintaining long‑term system integrity.

Qualifications • 6 + years of experience in application development or systems engineering within complex environments.

• Advanced proficiency in Python and SQL, with strong software engineering fundamentals.

• Hands‑on experience building API‑driven services using FastAPI, Pydantic, and/or Django.

• Proven expertise designing and implementing microservices architectures, including service decomposition, inter‑service communication, resiliency patterns, and observability.

• Strong experience with Docker and Kubernetes, deploying and operating containerized services in production.

• Deep understanding of system architecture, data flows, and distributed systems.

• Experience working in Linux environments, including shell scripting and operational troubleshooting.

• Strong track record implementing unit testing, TDD, and automated quality controls.

• Subject Matter Expert (SME) in at least one application, platform, or service domain.

• Working knowledge of large language models (LLMs) and modern AI platforms from leading providers such as OpenAI, Anthropic, Google, and Meta.

• Experience designing or contributing to LLM‑enabled solutions (e.g., copilots, workflow automation, analytics augmentation).

• Familiarity with prompt engineering, model integration patterns, and AI governance considerations in enterprise environments.

• Exposure to modern “vibe coding” practices—leveraging AI‑assisted tooling to accelerate development, experimentation, and problem solving while maintaining engineering rigor.

Bonus / Differentiating Skills • Experience

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