Vice President || Model Validation (Markets & Liquidity Risk)
NAB
Gurugram District
On-site
INR 1,500,000 - 2,500,000
Full time
14 days+
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Job summary
A leading banking institution in Gurugram is seeking an experienced professional for a full-time role in quantitative risk management. The ideal candidate will have at least 10 years of experience, focusing on model validation within Markets and Treasury. Strong knowledge of derivatives pricing and a quantitative degree are essential. This position involves validating financial models and ensuring compliance with risk policies.
Qualifications
10+ years’ professional experience in quantitative risk management at a bank or similar.
Validation of models used in markets and treasury risk management.
Experience in derivatives pricing and validation of models across risk.
Responsibilities
Validating financial models owned by Markets and Treasury.
Revalidation of all Markets and Treasury models periodically.
Produce accurate market risk and credit risk exposures.
Skills
Quantitative risk management
Derivatives pricing
Programming (C++/C#/Python)
Education
PhD/Master's in Mathematics, Statistics, Quantitative Finance
Job description
Responsibilities
Validating all financial models, including pricing and risk models (including Stress), owned by Markets and Treasury, whether those models were developed internally or by an external party prior to implementation and post implementation into a technology asset.
Revalidation of all Markets and Treasury models on a periodic basis.
Produce accurate market risk and credit risk exposures for traded and non-traded products.
Ensure prospective risk appetite breaches, material risks, loss events and/or deviations from the Model Risk Policy/Framework are known to relevant Domain-aligned teams and escalated on a timely basis.
Leverage specialist skills and subject matter expertise from other Risk and business teams as required.
Capabilities & Experience Requirements
10+ years’ professional experience in quantitative risk management at a bank or similar.
Validation of models used in markets and treasury risk management, including Pricing, Valuation Adjustments, Value at Risk, Counterparty Credit Risk and Interest Rate Risk in the Banking Book (IRRBB).
Experience in derivatives pricing and in the validation of models across traded or non-traded market risk.
Experience with a programming language, e.g. C++/C#/Python
Qualification Requirements
Strong quantitative and analytical background (PhD/Master's in Mathematics, Statistics, Quantitative Finance)