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Niche senior quant role but Tier‑1 brand and metro location increase applicant density.
Highly domain-specific quant finance skills and advanced mathematics limit cross-industry transferability.
Explicit 10+ years, Master's/PhD, and mandatory advanced quantitative and coding skills enforce strict filters.
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Manage and ensure quality of large financial data sets to support Risk analysis and tool accessibility.
Develop and validate advanced quantitative models including option valuation and risk assessment methodologies such as VaR, PFE, and stress testing.
Identify and improve inefficiencies in risk processes and engage with stakeholders on operational and strategic levels under managerial guidance.
At least 10 years of relevant work experience in quantitative risk analysis or related finance roles.
Master's Degree or PhD in relevant field.
Proficiency in Python, bash shell scripting, and experience with Oracle and SQL databases.
Experience in both model development and model validation, including advanced statistical analysis and mathematics like PDE and Monte Carlo simulations.
Experienced quantitative risk analyst capable of independently handling moderately complex modeling and validation tasks under broad guidance.
Strong technical ability with programming, database management, and advanced quantitative methods to develop and improve risk models.
Comfortable managing multiple stakeholder interactions at operational level and contributing to strategic risk management initiatives.