Technology Lead Python Data Engineer - Vice President
About The Position
Citi is a leading global bank with a significant presence in over 160 countries. The Enterprise Operations & Technology teams are crucial in developing and maintaining the bank's technological infrastructure, ensuring security, managing resources, and providing essential tools for employees. They focus on reimagining client and partner experiences through secure, reliable, and efficient services. Citi is committed to diversity and fosters an environment where employees are valued, respected, and have opportunities for personal development. The Credit Risk Technology team, operating with a startup mindset within a global financial institution, focuses on building mission-critical platforms for credit risk assessment, analytics, and decisioning. This role specifically involves designing and delivering scalable, Python-based applications for credit risk management, blending hands-on development, system architecture, technical leadership, and AI-enabled innovation with a focus on microservices, cloud-native design, and enterprise-grade governance.
Requirements
- 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.
- Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related STEM field.
Nice To Haves
- Experience with distributed data and compute platforms (e.g., Spark, PySpark, Hadoop, Hive).
- Hands‑on experience with graph databases, particularly Neo4j, for network, relationship, or dependency‑driven use cases.
- Background in credit risk, financial risk management, or banking platforms.
- Experience modernizing or decomposing legacy monolithic systems in large enterprises.
- Proven delivery of GenAI / AI‑driven solutions in regulated or large‑scale environments.
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.
Benefits
- medical, dental & vision coverage
- 401(k)
- life, accident, and disability insurance
- wellness programs
- paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
