Role Overview
We are seeking a highly experienced, technically proficient, and execution-focused Senior Python Application Developer with 8+ years of hands-on experience to design, architect, and deliver critical, horizontally scalable, highly available, and performant applications. This role demands deep technical expertise in Python, distributed systems, and modern DevOps practices, combined with a strong background in quantitative computation and market risk domains.
The ideal candidate is a hands-on technical leader who can drive software engineering excellence, manage technical aspects of complex projects (including planning, governance, and budgeting), and collaborate effectively with globally matrixed teams, including Risk Managers, Risk Analytics, Senior Quants, and Front Office (FO) teams.
Key Responsibilities1. Architecture, Design & Hands-on Development- Lead Implementation: Lead the hands-on implementation and architecture of robust Python frameworks to build horizontally scalable, highly available, highly resilient, and performant applications.
- Platform Engineering: Design and develop efficient software platforms for high-throughput data computation, processing, and quantitative calculations.
- Standards & Alignment: Develop solutions adhering to enterprise architectural standards, utilizing in-depth technical and business domain knowledge.
- Database & API Design: Design, develop, and secure high-performance RESTful APIs, integration patterns, and database schemas (relational and NoSQL).
- SDLC & Code Quality: Enforce industry-standard SDLC best practices and contribute to code quality through rigorous code reviews, automated testing, and continuous integration.
- Project Ownership: Take full ownership of technical initiatives, including planning, forecasting, project tracking, governance, and managing technology budgets at the team level.
- Change Management: Drive continuous improvement, change management, and modern software engineering practices within the development team.
- Independent Execution: Work independently, multi-task, and manage priorities effectively under pressure to meet tight deadlines or unexpected changes in requirements.
- Cross-Functional Partnership: Act as a key liaison and partner with Risk Managers, Risk Analytics, Senior Quants, Front Office (FO), DevOps, and Production Support teams to ensure seamless IT deliveries.
- Global Collaboration: Work effectively in a globally matrixed environment, partnering with virtual teams and external partners across different time zones.
- Executive Communication: Consistently demonstrate clear, concise, and impactful written and verbal communication, ranging from technical discussions within the team to presentations for senior business executives.
- Experience: 8+ years of hands-on application development experience, with a primary focus on Python, Data Structures and Algorithms.
- Python Expertise: Expert-level Python 3.x proficiency, with deep knowledge of core concepts, advanced computation libraries, and design patterns (OOP, SOLID).
- Frameworks: Advanced knowledge of Python web and API frameworks (FastAPI, Django, Flask).
- Distributed Systems: Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture, caching strategies).
- Database Systems: Extensive experience with relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL query writing and optimization.
- Operating Systems: Highly experienced with Unix/Linux-based operating systems, shell scripting, and system-level development.
- Cloud Platforms: Strong background in cloud platforms AWS or IBM symphony grid.
- Containerization & Orchestration: Hands-on experience with Docker containerization and contributing to Kubernetes orchestration.
- CI/CD Pipelines: Proven exposure to and experience with Continuous Integration and Continuous Delivery (CI/CD) systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.
- Testing & TDD: Proficiency in automated testing frameworks (Pytest, unittest) and Test-Driven Development (TDD) methodologies.
- Security: Solid understanding of secure coding practices and application of security principles (OWASP Top 10).
- Version Control: Expertise in Git (Bitbucket, GitHub) for advanced branching, merging, and pull request workflows.
- Quantitative Computation: Multiple years of experience developing quantitative/calc-intensive Python solutions with advanced computation libraries (e.g., NumPy, Pandas, SciPy).
- Risk Methodologies: Sound understanding of and exposure to various Risk Methodologies (e.g., Market Risk, Stress Testing, Value at Risk (VaR), Sensitivities).
- Domain Delivery: Proven track record of delivering Stress Testing and Regulatory Risk projects in the Market Risk domain.
- Mathematical Modeling: Exposure to mathematical modeling and financial insights.
- AI/ML Frameworks: Exposure to AI/ML tools and frameworks.
- Development Workflows: Practical experience utilizing AI tools (GitHub Copilot, Devin, Claude, Gemini, GPT) to optimize development workflows.
- Agentic AI: Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.
- Generative AI: Understanding and practical application of Generative AI concepts in software development.
- Agile/Scrum: Deep understanding and practical experience working within Agile/Scrum methodologies.
- Analytical Thinking: Strong analytical, logical, systems thinking, and critical analysis skills.
- Design Thinking: Demonstrated design thinking skills to solve complex business and technical problems.
- Ownership & Adaptability: Ability to take complete ownership of various parts of a project, adapt to changing priorities, and perform under pressure.
- Banking Domain: Prior experience working within the banking/financial services domain, specifically in pricing, valuation, or risk management systems.
- Certifications: Relevant Cloud (AWS, Azure, GCP) or Industry Certifications.
- Financial Certifications: CFA (Chartered Financial Analyst) or FRM (Financial Risk Manager) certification is a strong plus.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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
- 8+ years of hands-on application development experience focused on Python, data structures, and algorithms
- Expert-level Python 3.x proficiency, including object-oriented programming, SOLID principles, advanced computation, and design patterns
- Advanced experience with FastAPI, Django, and Flask
- Strong understanding of distributed systems, microservices, event-driven architecture, and caching
- Experience with relational databases including PostgreSQL, Oracle, and SQL Server
- Experience with NoSQL databases including MongoDB, Cassandra, and Redis
- Advanced SQL query writing and optimization
- Experience with Unix/Linux operating systems, shell scripting, and system-level development
- Experience with AWS or IBM Symphony Grid
- Hands-on Docker experience and experience contributing to Kubernetes orchestration
- Experience with CI/CD systems such as Jenkins, GitLab CI, GitHub Actions, or Bitbucket Pipelines
- Proficiency with Pytest or unittest and Test-Driven Development
- Understanding of secure coding practices and OWASP Top 10
- Expertise with Git and advanced branching, merging, and pull request workflows
- Multiple years of experience developing quantitative or calculation-intensive Python solutions using NumPy, Pandas, or SciPy
- Understanding of market risk, stress testing, Value at Risk, and sensitivities
- Experience delivering stress testing and regulatory risk projects in the market risk domain
- Exposure to mathematical modeling and financial insights
- Exposure to AI/ML tools and frameworks
- Practical experience using AI development tools such as GitHub 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
- Practical experience with Agile/Scrum methodologies
- Prior banking or financial services experience in pricing, valuation, or risk management systems
- Relevant cloud or industry certifications
- CFA or FRM certification
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
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