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High—Tier-1 brand, metro location, and mid-level technical role increase applicant competition.
High—quantitative finance and production ML/AI skills are highly domain-specific and less transferable.
High—mandatory Master's, 5+ years, Python, AI/LLM and finance domain expertise required.
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Develop and maintain Python-based risk analytics tools and dashboards for a firm-wide global stress testing programme.
Lead AI-driven development initiatives using large language models to translate analytical requirements into production-ready solutions.
Manage end-to-end integration of risk models and tools with enterprise IT systems including user acceptance testing and releases.
Master's degree in a quantitative discipline such as Mathematics, Engineering, or Computer Science.
5+ years of professional software engineering experience with Python, preferably in financial services.
Applied experience with AI tools and large language models (e.g. Gemini, Claude) for data and risk analytics solutions.
Work Experience Required: At least 5 years; Notice period: Not explicitly mentioned in the JD.
Strong background in Python software engineering focused on production-quality, high-performance code.
Experience in financial markets, financial instruments, and risk management methodologies.
Demonstrated ability to lead AI-based development projects and integrate complex analytics solutions into enterprise environments.