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Tier-1 bank, metro location, and mid-level quant role increase applicant competition.
Strong banking and regulatory liquidity risk expertise limits transferability across industries.
Mandatory 4+ years quant experience plus specialized risk-modeling and regulatory validation requirements enforce strict shortlisting.
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Develop, implement, and validate complex quantitative models related to liquidity risk, market, credit, and operational risks.
Conduct comprehensive validations of liquidity risk models and stress testing frameworks to ensure compliance with regulatory requirements and internal standards.
Collaborate with stakeholders including regulators, auditors, and senior management to advise on model governance, validation outcomes, and risk implications.
4+ years of quantitative analytics experience or equivalent (work experience, training, military experience, education).
Bachelor's degree or higher in quantitative disciplines such as mathematics, statistics, engineering, physics, economics, or computer science.
Experience with handling liquidity risk models, including validation and stress testing frameworks.
Experience with time series, logit, or COX proportional hazard models; familiarity with other quantitative modeling techniques.
Experienced in risk management focusing on liquidity risk and model validation within financial services.
Strong technical expertise in quantitative modeling and statistical theory applicable to market, credit, and operational risk forecasting.
Capable of effectively communicating complex analytical concepts and collaborating with regulatory bodies, senior leadership, and technical teams.