VP - Model Risk - Asset Management

A Global Investment Bank is looking to hire a Vice President into its Independent Model Validation team in New York. This individual will join a highly visible risk function responsible for reviewing and challenging quantitative models that support investment strategies, portfolio construction, risk measurement, valuation, and performance analytics across the firm's asset and investment management businesses.

The team provides independent oversight of model development and usage, ensuring methodologies are robust, fit for purpose, and aligned with internal governance standards. This role offers exposure to a broad range of quantitative investment and risk models, working closely with model developers, portfolio managers, quantitative researchers, risk managers, and senior leadership across the organization. This is a growing team that offers added responsibilities not typically seen in a standard Model Risk position as it is far more collaborative with the first line.

The ideal candidate will possess a strong quantitative background, experience evaluating sophisticated financial models, and the ability to effectively challenge assumptions, methodologies, and model outcomes. This is an excellent opportunity to be one of only a few contributors to an excellent team and get exposure across investment management, quantitative investing, and model risk management.

Responsibilities:

• Perform independent reviews of quantitative models used across investment management, portfolio construction, risk measurement, valuation, and trading activities.
• Assess model design, methodology, assumptions, performance, limitations, and suitability for intended business use.
• Evaluate ongoing model monitoring frameworks and analyze model performance under various market and stress scenarios.
• Prepare detailed validation reports documenting findings, recommendations, limitations, and model risk considerations.
• Present validation conclusions and key risk observations to senior management, governance committees, and business stakeholders.
• Partner with quantitative researchers, portfolio managers, risk teams, and model developers while maintaining an independent review and challenge function.

Qualifications:

• 4+ years of experience in Model Validation, Quantitative Risk, Quantitative Research, Model Development, Portfolio Analytics, Investment Risk, or a related quantitative function.
• Strong understanding of financial modeling, statistical techniques, and quantitative methods used within financial services.
• Experience validating or developing models related to market risk, counterparty credit risk, derivatives pricing, portfolio optimization, asset allocation, valuation, or investment strategies.
• Familiarity with risk measurement methodologies, investment analytics, and portfolio management concepts.
• Strong programming skills in Python, R, VBA, or similar analytical tools used for quantitative modeling and data analysis.