Leads-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications. Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge. Proficiency in designing and implementing agentic flows and building autonomous AI agents capable of reasoning, planning, and tool utilization. Enforce industry-standard SDLC best practices and contribute to code quality through reviews. Collaborate with cross-functional teams (Risk, Quants, FO, DevOps, Production Support) for seamless delivery. Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain. Manage project technical aspects, including planning, governance, and taking ownership of initiatives. Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines. Polyglot Programming Exposure (e.g., Java). Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing. Frontend Development (React, Angular, Vue.js). Relevant Cloud or Industry Certifications.