VP, Quantitative Risk

VP - Quantitative Risk

This role can be based in Dallas, TX or Chicago, IL

A leading global investment bank is looking to add a key hire to their quantitative risk management team, specifically focused on model development and validation for their capital markets group. This individual will join a highly impactful team, responsible for developing cutting edge models to manage risk across several different asset classes.

The right candidate will have exceptional technical programming skills, a strong background in financial mathematics, and experience in the banking industry. This team is highly visible to the several key business partners internally, including the front office as well as various Risk committees.

Job Responsibilities:

Develop and maintain advanced statistical models (including model prototypes and libraries) to accurately measure and mitigate market risk (VaR, Stress Testing, margin risk, etc.)

Review model performance, back testing, and documentation, as well as development of benchmarking models

Communicate model reviews/analysis across the organization to both technical and nontechnical stakeholders

Develop recommendations based on risk calculations to help manage risk across the organization

Key Requirements:

Advanced degree (PhD preferred) in a quantitative field such as mathematics, financial engineering, statistics, or quantitative analytics

6+ years of experience in advanced statistical programming within financial services

In depth programming skills in Python, R or C++ as well as experience working with large, unstructured datasets in SQL

Knowledge of the US Regulatory environment