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Tier-1 bank, common Senior Python/backend title, mid-level experience range, and Pune metro increase competition.
Core Python/backend skills are transferable, but counterparty risk and quantitative analytics preference heighten domain specificity.
Explicit 3–6 years, mandatory Python/backend skills and finance risk platform experience make shortlisting stringent.
Develop and maintain scalable Python applications for counterparty credit risk and exposure calculations within a strategic risk analytics platform.
Collaborate with quantitative analysts, model developers, and technology teams to integrate analytical models and enhance platform performance and reliability.
Support CI/CD pipelines, automated testing frameworks, and resolve production issues while contributing to platform modernization initiatives.
3 to 6 years of professional software development experience.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, Financial Engineering, or related discipline.
Strong hands-on Python programming skills with object-oriented design and experience in building enterprise-grade applications.
Experience with Linux/Unix platforms, Git, CI/CD pipelines, Agile methodologies, and SQL/data processing frameworks.
Experienced in financial services, specifically Capital Markets or Risk Technology domains, with knowledge of derivatives and risk management concepts.
Comfortable working with cross-functional global teams including quantitative analysts and front office technology stakeholders.
Familiar with Python data science libraries (NumPy, Pandas, SciPy) and distributed or high-performance computing environments.