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.

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.

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.

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.

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Job Family Group:

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Risk Management

Job Family:

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Enterprise Risk

Time Type:

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Full time

Most Relevant Skills

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Analytical Thinking, Controls Lifecycle, Credible Challenge, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.

Other Relevant Skills

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For complementary skills, please see above and/or contact the recruiter.

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