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 workplace.
Applied experience using advanced AI tools and large language models such as Gemini or Claude to design and deliver data and risk analy

📌 Quantitative Developer, AVP (Mumbai)
🏢 Citi
📍 Mumbai