VP Market Risk Analytics

Mizuho•New York City, NY

13d•Hybrid

About The Position

Quantitative market risk analytics specialist responsible for developing methodologies and managing analytics for risk models including value-at-risk, stress, and capital models. Candidate will join the Risk Analytics group that partakes in model development over the full life-cycle of modes: from methodology to design to local implementation and validation. The successful candidate will also provide analysis and feedback on changes to or introduction of new models at the firm. More specifically the VP will lead all risk analytics initiatives and development relating to a wide spectrum of businesses, including Interest Rates, FX, Equities, XVA, Banking, and Securitized Products.

Requirements

3-5 years of experience in quantitative modeling for market risk
Masters 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 required to understand quantitative models
Strong knowledge and understanding of the derivative markets mainly for fixed income, equity and credit
Strong project, management and organizational skills.
Strong writing and presentation skills.
Proficient programming skills in python and database expertise
Experience with time series techniques and governance
Ability to communicate effectively with managers that may not have quantitative backgrounds

Responsibilities

Develop, test, implement and document models and risk analytics for new products
Lead the enhancement of infrastructure to implement new risk analytics models including controls to monitor their performance
Perform quantitative research to implement model changes, enhancements and remediation plans
Work with stakeholders across business and functional teams during model development process
Create tools and dashboards which can enhance and improve the risk analysis
Conduct analysis on existing model short-comings and design remediation plans
Maintain, update, improve and back-test risk models
Analysis and governance of historical time series data
Develop Market Risk Analytics platform
Identify risk not captured by analytics, develop and implement methodology to quantify the materiality, and design strategic plan to better integrate and manage such risk
Support discussion with regulators as a subject matter expert