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.
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.
- 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.
- 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.
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
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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
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:Jun 18, 2026------------------------------------------------------
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
- 12+ years of hands-on software development experience (market risk/quant domain preferred)
- 10+ years of application development primarily using Python
- Expert-level Python 3.x proficiency
- Advanced knowledge of Python frameworks: FastAPI, Django, Flask
- Strong software architecture and distributed systems design (Microservices, Event-Driven Architecture)
- Experience with relational databases (PostgreSQL, Oracle, SQL Server) and advanced SQL
- Experience with NoSQL databases (MongoDB, Cassandra, Redis)
- Designing, developing, and securing RESTful APIs and integration patterns
- Hands-on CI/CD experience (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines)
- Strong Unix/Linux experience
- Cloud platform experience (AWS, Azure, GCP), containerization (Docker) and Kubernetes orchestration
- Automated testing and TDD (Pytest, unittest)
- Secure coding practices and application security knowledge (OWASP Top 10)
- Expertise with Git workflows (Bitbucket, GitHub)
- Experience building quantitative, computation-intensive Python solutions and familiarity with risk methodologies
- Experience in project technical leadership, planning, governance, and delivering in a matrixed environment
- Bachelor's degree or equivalent experience (Master's preferred)
- Demonstrated subject matter expertise in applications development and knowledge of client core business functions
- Strong communication, Agile/Scrum experience, and ability to work independently
- Polyglot programming exposure (e.g., Java)
- Big Data technologies (Apache Spark, Hadoop, Kafka) and data warehousing experience
- Frontend development experience (React, Angular, Vue.js)
- Relevant cloud or industry certifications; banking domain experience; CFA/FRM
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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