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BNY · 22 hours ago

Senior Vice President, Model Risk Management

New York, NY

Full-time

Onsite

Mid, Senior Level

$102K/yr - $172K/yr

5+ years exp

BNY is a leading global financial services company that influences nearly 20% of the world’s investible assets. They are seeking a Senior Vice President for their Model Risk Management team, responsible for model validation, risk assessment, and ensuring compliance with regulatory requirements.

Financial Services

Responsibilities

Lead teams responsible for model validation, risk assessment, and compliance with regulatory requirements

Ensure effective processes and controls for prompt risk identification, assessment, mitigation, and tracking of issues related to model risk

Behave ethically and adhere to BNY’s standards, including the Code of Conduct and applicable policies

Conduct independent testing and analysis of model performance, assumptions, and limitations

Document validation findings and communicate results to stakeholders

Demonstrate ownership and accountability for managing model risk holistically, engaging proactively with control functions

Serve as a role model in creating and sustaining a strong risk culture and support the development of team members

Collaborate with other risk, compliance, and business leaders to ensure alignment with BNY’s risk management framework and regulatory expectations

Qualification

Quantitative analysisModel validationProgramming languagesFinancial services experienceMathematical/statistical softwareDocumentation skillsCommunication skillsTeam leadership

Required

Master's Degree or PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, econometrics

The candidate must have a superb quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation, and communications skills

Minimum 5 years (5 - 7 preferred) of modeling experience in financial services

Must have experience with complex quantitative modelling, numerical analysis, and computational methods using programming languages (such as C/C++, C#, Java, FORTRAN, MATLAB, SAS) as well as mathematical/statistical software packages