Senior Python Application Developer Senior Vice President
Summary
Senior Python developer at Citi building scalable, high-performance risk and quantitative applications in a regulated financial environment using Python, cloud, and AI/ML tooling.
Overview
We are seeking a highly experienced and technically proficient Senior Python Application Developer with 12+ years of hands-on experience to design, develop, and deliver critical, scalable, highly available, and performant applications. This role demands deep technical expertise, a strong focus on execution, and a proven ability to deliver robust software solutions, particularly within quantitative and market risk domains.
Responsibilities
- 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, DevOps, 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.
Required Technical Qualifications
- I. Core Python & System Development
- 10+ 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, Django, Flask), best practices, and design patterns (OOP).
- Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture).
- Extensive experience with relational (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL.
- Proven expertise in designing, developing, and securing RESTful APIs and integration patterns.
- Hands-on experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.
- Highly experienced with Unix-based operating systems.
- II. Cloud & DevOps
- Strong background in cloud platforms (AWS, Azure, GCP), including containerization (Docker) and contributing to Kubernetes orchestration.
- Advanced troubleshooting, debugging, and performance optimization for 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 (Bitbucket, GitHub) for advanced branching and pull request workflows.
- III. Quantitative & Risk Domain
- Experience developing Quantitative/Calc-intensive Python solutions with advanced computation libraries.
- Sound understanding and exposure to various Risk Methodologies.
- Exposure to mathematical modeling/finance insights.
- IV. Artificial Intelligence (AI) Integration (Exposure)
- Exposure to AI/ML tools and frameworks (TensorFlow, 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.
Professional Skills
- 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.
Desirable Qualifications
- Polyglot Programming Exposure (e.g., Java).
- 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.
Qualifications
- 10+ years of relevant experience
- Experience in implementing projects
- Experience in systems analysis and programming of software applications
- Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development
- Demonstrated knowledge of client core business functions
- Demonstrated leadership, project management, and development skills
- Relationship and consensus building skills
Education
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
Key Focus Areas / Desirable Skills
- Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models
- Machine Learning: PyTorch, TensorFlow, Fine-tuning
- Frameworks: LangChain, LlamaIndex, Hugging Face
- Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval
- Orchestration: LangGraph, Multi-Agent Systems
- Development: Python, FastAPI, Async Programming
- Deployment: Docker, Production APIs, Monitoring
- Applied Methodology: Prompt Engineering, Workflow Design, GenAI Optimization
Job Details
- Job Family Group: Technology
- Job Family: Applications Development
- Time Type: Full time
- Primary Location: New York, New York, United States
- Primary Location Full Time Salary Range: $176,720.00 - $265,080.00
Benefits & EEO
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. For accessibility or accommodation requests, view Citi’s Accessibility and EEO resources at citibenefits.com.