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Tier-1 brand, popular Python/backend title, and metro location increase candidate competition.
Strong quantitative market-risk and banking domain requirements make background fit highly sensitive.
Multiple mandatory technical skills, quant/risk domain experience, and 8+ years make screening highly strict.
Lead the design, architecture, and hands-on development of scalable, highly available Python applications and platforms for quantitative data processing.
Own end-to-end technical delivery including planning, governance, budgeting, and enforcing SDLC and code quality within the team.
Collaborate with global teams including Risk Managers, Quants, Front Office, DevOps, and Production Support for seamless delivery and stakeholder management.
8+ years of hands-on Python application development experience with strong proficiency in Python 3.x and frameworks such as FastAPI, Django, or Flask.
Deep experience with distributed systems design, relational and NoSQL databases, Unix/Linux operating systems, and modern DevOps tools including Docker, Kubernetes, CI/CD pipelines and automated testing.
Strong background in quantitative computation using libraries like NumPy, Pandas, and exposure to Market Risk domain including Stress Testing and Regulatory Risk projects.
Work Experience Required: 8+ years; Mandatory skills in Python, distributed systems, database design, cloud platforms (AWS or IBM Symphony Grid), and quantitative finance domain.
Experienced technical leader capable of hands-on development and leading complex, high-impact projects in a globally matrixed financial environment.
Deep domain knowledge of Market Risk, quantitative computation, and experience delivering regulatory risk projects within banking or financial services.
Comfortable working with AI/ML tools to optimize workflows and practicing Agile/Scrum in a fast-paced technology delivery environment.