Associate Consultant, Market Risk
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 bank and metro location but niche quant risk skills reduce competition.
Banking-specific regulatory and quantitative modeling experience limits cross-industry transferability.
Explicit 4-9 years requirement plus mandatory market/counterparty risk and Python/SAS skills tighten shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain quantitative risk analytics for Market and Counterparty Credit Risk, including capital market models for derivatives and securities lending portfolios.
Collaborate with front office, regulators, auditors, and other teams to ensure compliance with regulatory requirements and corporate risk policies.
Support stress testing, capital quantification, and internal capital allocation methodology development; communicate and train on risk measurement concepts.
Minimum Requirements
4-9 years of hands-on experience in market/counterparty quantitative risk modeling.
Master's degree in Statistics, Economics, Mathematics, or advanced quantitative discipline OR B.Tech. from a Tier 1 college with related MBA.
Proficiency in Python (preferred), SAS, advanced Excel, VBA; experience in stochastic process pricing models and Monte Carlo simulations.
Strong knowledge of banking regulatory frameworks (BASEL, CCAR, SR11/7) and market risk rules.
Ideal Candidate Profile
Experienced individual contributor capable of independently developing and enhancing complex risk models and frameworks.
Strong quantitative and conceptual skills with practical regulatory knowledge for banking capital and model risk compliance.
Comfortable working in a multicultural, global environment with cross-functional collaboration involving senior management and regulatory bodies.