Lead Python Developer - Vice President

Citi; New York (NY); Hybrid; USD 42,000 - 58,000; Full time

Job summary

Citi is seeking a Lead Python Developer - Vice President to architect and deliver scalable risk analytics platforms. You will drive Python-centric systems, microservices, and AI-enabled workflows in a hybrid environment across global teams.

Lead design reviews, mentor engineers, ensure security/compliance, and partner with risk, data, and platform teams to deliver enterprise-grade solutions.

Qualifications

• 10–15 years of experience in application development or systems engineering.
• Advanced proficiency in Python and SQL with strong software engineering fundamentals.
• Hands-on experience building API-driven services using FastAPI, Pydantic, and/or Django.

Responsibilities

• Architect, design, and deliver scalable Python-based applications supporting credit risk analytics, workflows, and reporting.
• Partner with risk and product leadership to integrate platforms and enable new products.
• Ensure solutions adhere to enterprise architecture, data, security, and infrastructure blueprints.
• Design and evolve microservices-based architectures for scalability and observability.
• Mentor engineers and allocate work to team members.

Skills

Python

SQL

API frameworks

Docker

Kubernetes

Linux

Unit testing

TDD

LLMs

AI governance

Education

Bachelor's degree

Master's degree preferred

Tools

FastAPI

Pydantic

Django

OpenAI API

Job description

Lead Python Developer - Vice President

Job Req Id:

26993149

Location(s):

Chennai, Tamil Nadu, India

Job Type:

Hybrid

Posted:

Nov. 02, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

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.

The Credit Risk Applications Technology Lead Analyst 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.

Core Technical Skills

• 10–15 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.

AI & Modern Engineering Tools

• 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 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.

Education

Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related STEM field.

Master’s degree preferred.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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