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Our Client ranks among the world's largest banks and stands out as a premier provider of corporate and services for its clients.

They are currently looking for 2 - Quantitative Market Risk Analytics - VP (Direct Hire) in New York, NY (Hybrid). They're looking for 3-5+yrs of experience in quantitative modeling for market risk & analysis of historical time series data. Thorough grasp of Value-at-Risk and counterparty exposure models is highly preferred.

If the opportunity interests you, please send your resume and contact details to

Summary:
The VP-level quantitative market risk analytics professional is entrusted with developing methodologies and overseeing analytics for risk models, encompassing value-at-risk, stress, and capital models. They will join the Risk Analytics group, contributing to model development across its entire life cycle, from methodology design to local implementation and validation. The VP will also provide analysis and feedback on changes or new model introductions within the firm, leading risk analytics initiatives across diverse business areas, including Interest Rates, FX, Equities, XVA, Banking, and Securitized Products.

Responsibilities:
Develop, test, implement, and document risk analytics for new products.
Lead the enhancement of infrastructure for implementing new risk analytics models, including performance monitoring controls.
Conduct quantitative research to enact model changes, enhancements, and remediation plans.
Collaborate with stakeholders across business and functional teams during model development.
Design tools and dashboards to enhance and improve risk analysis.
Analyze existing model shortcomings and devise remediation plans.
Maintain, update, improve, and back-test risk models.
Analyze and govern historical time series data.
Develop the Market Risk Analytics platform.
Identify risks not captured by analytics, develop methodologies to quantify materiality, and design strategic plans for integration and management.
Support regulatory discussions as a subject matter expert.

Qualifications:
3-5+ years of experience in quantitative modeling for market risk.
Master's Degree in a quantitative field preferred.
Deep understanding of Value-at-Risk and counterparty exposure models preferred.
Experience with pricing and risk models for financial derivatives.
Strong analytical skills to comprehend quantitative models.
Proficient in Python programming and database expertise.
Experience with time series techniques and governance.
Strong knowledge of derivative markets, particularly in fixed income, equity, and credit.
Strong project management and organizational skills.
Excellent writing and presentation skills.
Ability to communicate effectively with non-quantitative managers.