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Quantitative Developer

India, Mumbai · Job Posted July 14, 2026
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Job 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.

Job Responsibility

  • 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

Requirements

  • 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

Nice to have

  • 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

  • Hybrid working model with 3 days in the office and 2 days working remotely
  • 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
  • The opportunity to work at the forefront of AI adoption in financial services
  • A performance-driven environment where your technical contributions directly shape the quality and capability of critical risk infrastructure

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