Sr. Quantitative Model Risk Analyst

Senior Quantitative Model Risk Analyst Location: Schedule: Hybrid, three days per week onsite Employment Type: Full-time We are looking for an experienced Senior Quantitative Model Risk Analyst to help evaluate the financial and market-risk models used by a banking organization. Rather than developing models for day-to-day business use, you will independently review models created by other teams to determine whether they are accurate, reliable, appropriately designed, and compliant with regulatory expectations. This role is especially well suited for someone with experience in model risk management, market risk, asset liability management, interest rate risk, treasury risk, or financial model validation . You will work with quantitative teams and business leaders while translating complex findings into practical recommendations.

Independently validate financial and market-risk models used for pricing, forecasting, risk measurement, and business decisions. Review model assumptions, methodologies, data, calculations, implementation, and ongoing performance. Asset liability management, or ALM Interest rate risk, or IRR Economic value of equity, or EVE Net interest income, or NII Mortgage valuation and prepayment Derivatives and financial instruments Liquidity risk Prepare clear model-validation reports that document testing, findings, risks, and recommendations. Support the organization's model-risk framework, including model inventory, change management, governance, and ongoing monitoring. Partner with model developers, treasury professionals, risk leaders, and other stakeholders. Help maintain compliance with applicable model-risk regulations and guidance. At least five years of experience in model risk management, model validation, market risk, quantitative risk, or a closely related field. Experience validating or developing financial models within a bank, financial institution, consulting firm, regulatory agency, or rating agency. Direct exposure to models used for pricing, risk measurement, forecasting, valuation, or decision-making. Strong understanding of financial or market risk, particularly within banking or capital markets. Experience using Python, R, SAS, MATLAB , or a similar quantitative tool for model testing and analysis. Bachelor's degree in finance, financial engineering, economics, mathematics, statistics, or a related quantitative discipline. Ability to clearly explain technical findings, model limitations, and business risks to both technical and nontechnical audiences. D. in a quantitative or financial discipline. Experience with ALM, interest rate risk, treasury, market risk, mortgage, derivative, liquidity, or fixed-income models. Experience working within an established banking model-risk management framework. Familiarity with regulatory expectations for financial-model governance and independent validation.

Focus on financial and market-risk models rather than primarily credit-risk models. Work with quantitative, treasury, risk, and business stakeholders across the organization. Help influence how models are governed and used for important financial decisions.