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Tier-1 brand, mid-level experience requirement, and Mumbai metro location increase competition.
Role requires stress-testing and financial risk domain knowledge, so backgrounds outside finance transfer poorly.
Explicit 5+ years, mandatory Python and AI/quant finance experience create strict screening filters.
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Develop and maintain Python-based risk analytics tools and dashboards supporting a global stress testing program assessing financial resilience.
Lead AI-driven development initiatives using large language models for data and risk analytics solutions, managing end-to-end integration and production deployment.
Enhance core stress testing infrastructure including Stress Loss Calculator and collaborate with stakeholders to ensure tools meet analytical and business needs.
Master's degree in quantitative discipline (Mathematics, Engineering, Computer Science).
5+ years professional software engineering experience primarily with Python, ideally in financial services.
Experience applying advanced AI tools and large language models (e.g., Gemini, Claude) in analytics or risk solutions.
Knowledge of financial markets, instruments, and risk management methodologies.
Experienced in building production-quality Python code for complex risk analytics in financial institutions.
Skilled in leveraging AI and large language models to create practical, high-impact analytical tools.
Capable of managing end-to-end development lifecycle including prototyping, UAT, stakeholder engagement, and production releases in a regulated environment.