We are seeking a highly experienced and technically proficient Senior Python Developer with 6+ 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.
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
Education:
- Bachelor’s degree/University 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.
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Job Family Group: Technology------------------------------------------------------
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
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Anticipated Posting Close Date:------------------------------------------------------
Automated Processing and AIWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents – AI Notice and Right
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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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 6+ years of hands-on application development experience, primarily with Python
- Expert-level proficiency in Python 3.x
- Advanced knowledge of FastAPI, Django, Flask, object-oriented programming, best practices, and design patterns
- Strong understanding of software architecture, distributed systems, microservices, and event-driven architecture
- Experience with PostgreSQL, Oracle, SQL Server, MongoDB, Cassandra, Redis, and advanced SQL
- Experience designing, developing, and securing RESTful APIs and integration patterns
- Hands-on experience with CI/CD systems including Jenkins, GitLab CI, GitHub Actions, or Bitbucket Pipelines
- Extensive experience with Unix-based operating systems
- Experience with AWS, Azure, or GCP, Docker, and Kubernetes
- Advanced troubleshooting, debugging, and performance optimization for distributed systems
- Proficiency with Pytest, unittest, and test-driven development methodologies
- Understanding of secure coding practices, application security, and OWASP Top 10
- Advanced Git experience, including branching and pull request workflows
- Experience developing quantitative or calculation-intensive Python solutions
- Understanding or exposure to risk methodologies and mathematical modeling or finance
- Exposure to AI/ML tools and frameworks including TensorFlow, PyTorch, or scikit-learn
- Practical experience using AI development tools such as Copilot, Devin, Claude, Gemini, or GPT
- Experience with agentic AI tools, agents, skills, or agentic frameworks
- Understanding and practical application of generative AI concepts in software development
- Experience with Agile/Scrum methodologies
- Bachelor's degree, university degree, or equivalent experience
- Java or other polyglot programming exposure
- Experience with Apache Spark, Hadoop, Kafka, or data warehousing
- Frontend development experience with React, Angular, or Vue.js
- Relevant cloud or industry certifications
- Banking domain experience, including pricing or risk
- CFA or FRM certification
- Master's degree
- Experience with foundational models such as Gemini, OpenAI, Claude, Llama, or local models
- Experience with PyTorch, TensorFlow, or fine-tuning
- Experience with LangChain, LlamaIndex, or Hugging Face
- Experience with PostgreSQL-based retrieval, vector databases, or advanced retrieval
- Experience with LangGraph or multi-agent systems
- Experience with async programming, production APIs, monitoring, prompt engineering, workflow design, or generative AI optimization
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
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