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Tier-1 brand and Bangalore location increase competition, but senior niche quant requirements limit applicant pool.
Specialized market-risk modeling and quantitative research skills have high domain specificity and low transferability.
Explicit 10+ years, advanced quantitative skills, model validation and coding create strict shortlisting filters.
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Manage and analyze large financial data sets to ensure quality and accessibility for risk analysts.
Develop, validate, and enhance quantitative models for market risk assessment including VaR back-testing, stress testing, scenario analysis, and Monte Carlo option valuation models.
Identify and implement process improvements to increase efficiency and ensure accuracy in risk management operations, engaging with stakeholders and supporting strategic initiatives.
At least 10 years of relevant work experience in quantitative risk analysis.
Master's Degree or PhD in a relevant field.
Proficiency in Python and other programming languages, including bash shell scripting; exposure to Oracle and SQL databases.
Experience with both model development and model validation; strong skills in advanced statistical analysis and mathematics (e.g. PDEs, Monte Carlo simulations).
Experienced senior quantitative analyst with deep expertise in financial risk modeling and analytics.
Strong capability in transforming complex quantitative methodologies into practical risk management tools and operational processes.
Comfortable working under direct supervision for operational tasks but able to independently decide approaches and contribute to innovative research and strategic risk solutions.