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 prospect 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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Quantitative Developer, AVP (Hybrid) (Mumbai)
🏢 Citigroup
📍 Mumbai