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Strong Tier-1 brand, metro location, and senior specialized role yield moderate competition.
Deep market risk and quantitative domain expertise required, limiting cross-industry transferability.
Explicit 10+ years and mandatory Python, quant/risk, cloud, and security requirements make shortlisting strict.
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Lead design, development, and delivery of scalable, resilient, and high-performance Python applications primarily in quantitative and market risk domains.
Own technical architecture and implementation of Python frameworks ensuring adherence to SDLC best practices and code quality.
Manage technical project aspects including planning, governance, and collaborate cross-functionally to deliver Stress Testing and Regulatory Risk solutions under tight deadlines in a global matrixed environment.
10+ years of hands-on Python application development experience with expert-level proficiency in Python 3.x and associated frameworks (FastAPI, Django, Flask).
Strong experience with relational and NoSQL databases, developing RESTful APIs, CI/CD tools (Jenkins, GitLab CI, etc.), and Unix-based OS.
Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker), Kubernetes, automated testing frameworks (Pytest), and secure coding practices (OWASP).
Bachelor’s degree required. Master’s degree preferred. Work Experience Required: 10+ years explicit.
Deep expertise in quantitative and market risk domains with experience in mathematical modeling, financial insights, and risk methodologies.
Proven ability to independently deliver complex, high-quality software solutions in a globally distributed agile environment under tight deadlines.
Strong technical leadership managing end-to-end development lifecycle, architecture, and collaboration with cross-functional teams including Risk, Trading, DevOps, and Production Support.