Description

Key Skills: Python, FastAPI, Django, Flask, PostgreSQL, Oracle, SQL Server, MongoDB, Redis, AWS, Azure, Docker, Kubernetes, Git, Jenkins

Good to Have Skills: Cassandra, NoSQL databases, GCP, GitLab CI, GitHub Actions, Bitbucket Pipelines, Unix-based operating systems, TDD methodologies, Pytest, unittest, OWASP Top 10, PyTorch, TensorFlow, Gemini, OpenAI, Claude, Llama, LangChain, LlamaIndex, Hugging Face, Vector DBs, LangGraph, Multi-Agent Systems, Async Programming, Prompt Engineering, GenAI Optimization, Agile/Scrum methodologies, mathematical modeling, finance insights, quantitative solutions, stress testing, regulatory risk projects, market risk domain expertise.

Roles & Responsibilities:

• Lead hands-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.
• Enforce industry-standard SDLC best practices and contribute to code quality through reviews.
• Collaborate with cross-functional teams including Risk, Quants, FO, DevOps, and 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.

Experience Required: 10+ years of hands-on experience in Application Development, primarily with Python. Expert-level Python 3.x proficiency for scalable, resilient, and high-performance applications. Experience developing Quantitative/Calc-intensive Python solutions with advanced computation libraries. Sound understanding and exposure to various Risk Methodologies.

Education: Bachelor's degree/University degree or equivalent experience. Master's degree preferred

Key Skills

Education

Any Graduate