Senior Python Developer - Vice President

Key Technical 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 6+ 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 contribution 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/compute‑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. 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. Recommended Qualifications 6‑10 years of relevant experience in applications development or systems analysis role. Extensive experience in system analysis and programming of software applications. Experience in managing and implementing successful projects. Subject matter expert in at least one area of applications development. Ability to adjust priorities quickly as circumstances dictate. Demonstrated leadership and project management skills. Consistently demonstrates clear and concise written and verbal communication. Education Bachelor’s degree or equivalent experience. Master’s degree preferred. This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required. Job Family Applications Development Time Type Full time Primary Location Tampa Florida United States Primary Location Full Time Salary Range $113,840.00 – $170,760.00 Employee Benefits Citi offers competitive employee benefits, including medical, dental and vision coverage; 401(k); life, accident, and disability insurance; wellness programs; and paid time off packages (planned vacation, unplanned sick leave, and paid holidays). In addition to salary, Citi’s offerings may also include discretionary and formulaic incentive and retention awards. Anticipated Posting Close Date Jun 18, 2026 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. 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