Citi—Quantitative Developer, AVP (Hybrid)

Job description

Description: Citi is looking for a Quantitative Developer to build and advance Python-based risk analytics tools and dashboards that sit at the heart of a global stress testing programme. In this role, you will combine deep software engineering expertise with hands-on AI development to deliver solutions that directly inform how Citi measures and manages financial risk at scale. This is an opportunity to work on technically complex, high-impact problems within a collaborative team in Mumbai. Responsibilities - Build and enhance risk analytics tools, dashboards, and reporting capabilities that support a firm-wide stress testing programme used to assess financial resilience across global portfolios. - Design and develop Python-based implementations of risk models, ensuring clean, high-performance code that meets production standards. - Lead AI-driven development initiatives from prototype through to stakeholder review, translating analytical requirements into working solutions using large language models and AI-assisted tooling. - Manage the end-to-end integration of risk models and analytics tools with enterprise IT systems, including user acceptance testing and production releases. - Develop and maintain Stress Loss Calculator infrastructure and other core components that underpin the stress testing platform. - Gather and incorporate feedback from key stakeholders to refine prototypes and ensure delivered tools meet business and analytical needs. Required qualifications & skills - Master's degree in a quantitative discipline such as Mathematics, Engineering, or Computer Science. - 5 or more years of professional software engineering experience with Python as the primary language, ideally gained within the financial services industry. - Demonstrated ability to write clean, high-performance, and idiomatic Python code that is maintainable in a production environment. - Applied experience using advanced AI tools and large language models such as Gemini or Claude to design and deliver data and risk analytics solutions. - Strong analytical and problem-solving skills, with familiarity across financial markets, financial instruments, and risk management methodologies. Beneficial skills & qualifications - Proficiency with AI-powered development tools such as GitHub Copilot to accelerate code generation, debugging, and performance optimization. - Familiarity with stress testing frameworks or quantitative risk modelling within a financial institution. - Experience managing UAT processes and coordinating production releases for analytics or model-driven systems. What we offer At Citi, you will work on technically demanding problems that have real consequences for how a global financial institution manages risk. You will be part of a team that values engineering quality, analytical rigour, and the practical application of emerging AI technologies. - Hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility alongside meaningful in-person collaboration. - Access to learning and development resources that support your growth as both a software engineer and a quantitative practitioner. - Exposure to global risk management programmes, giving you visibility into how financial risk is assessed and managed at an international scale. - The opportunity to work at the forefront of AI adoption in financial services, applying cutting-edge tools to solve real analytical challenges. - A performance-driven environment where your technical contributions directly shape the quality and capability of critical risk infrastructure. Apply now to bring your Python and AI development expertise to a role where your work directly strengthens how Citi understands and manages financial risk globally. #LI-VR2 ------------------------------------------------------ Job Family Group: Risk Management------------------------------------------------------ Job Family: Enterprise Risk------------------------------------------------------ Time Type: Full time------------------------------------------------------ Most Relevant Skills Analytical Thinking, Controls Lifecycle, Credible Challenge, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.------------------------------------------------------ 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.