GenAI App Developer Lead Analyst - Python - Vice President

Senior Python Application Developer

We are seeking an experienced, motivated and technically proficient Senior Python Application Developer with 9+ years of hands-on experience to design, develop, and deliver robust, performant and scalable applications. This role demands deep technical expertise and a strong focus on execution, preferably within finance and risk domains.

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

• 9+ years of hands-on experience in Application Development, primarily with Python.
• Expert-level Python 3.x proficiency for scalable, resilient, and high-performance applications.
• Advanced knowledge of Python frameworks (FastAPI, Sql Alchemy), best practices, and design patterns.
• Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture).
• Extensive experience with relational (Postgre
  
  SQL, Oracle) and No
  
  SQL databases (Mongo
  
  DB, Redis), including advanced SQL.
• Proven expertise in designing, developing, and securing RESTful APIs and integration patterns.
• Hands-on experience with CI/CD systems (Tekton/Jenkins/Git Hub Actions, Harness/Git Lab CI) for automated deployment.
• Highly experienced with Unix-based operating systems.

• A working understanding of containerization (Docker) and Kubernetes orchestration.
• Able to troubleshoot/debug and optimize performance on distributed systems.
• Proficiency in automated testing frameworks (Pytest, unittest) and TDD methodologies.
• Solid understanding of secure coding practices and application security principles (OWASP Top 10).
• Expertise in Git for standard branching and pull request workflows.

• Exposure to AI/ML tools and frameworks (Tensor Flow, PyTorch, scikit-learn).
• Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows.
• Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.
• Understanding and practical application of Generative AI concepts in software development.

• Deep understanding and practical experience with Agile/Scrum methodologies.
• Exceptional ability to manage priorities and tasks effectively.
• Strong analytical, logical, systems thinking, and critical analysis skills.
• Excellent written and verbal communication for diverse audiences.
• Ability to work independently, take ownership, and collaborate effectively in global teams.

• Self-starting and problem-solving nature.
• Polyglot Programming Exposure (e.g., other language likes Java, C#, or other paradigms such as imperative/functional/reactive programming).
• Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
• Frontend Development (React, Angular, Vue.js).
• Relevant Cloud or Industry Certifications.
• Experience with banking domain (pricing, risk), CFA/FRM certification.

• Bachelor’s degree/University degree or equivalent experience.
• Master’s degree preferred.

Citi is an equal-opportunity employer, and qualified candidates will receive consideration without regard to 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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