AVP, Model Risk Management

Sud Recruiting; New York (NY); Sur place; USD 90 000 - 150 000; Plein temps

Résumé du poste

An established industry player in corporate and investment banking is on the lookout for a skilled Risk Modeler to enhance their revenue forecasting and risk assessment capabilities. This role involves developing and stress-testing PPNR models, analyzing revenue streams, and identifying various risks. With a focus on statistical modeling and regulatory compliance, this position offers a fantastic opportunity for professionals eager to advance their careers in a top-ranked financial institution. If you have a strong background in risk management and a passion for capital markets, this role could be your next big step.

Qualifications

• Strong expertise in statistical modeling and risk management in capital markets.
• Ability to analyze large data sets and communicate findings effectively.

Responsabilités

• Develop and implement PPNR models for revenue forecasting and risk assessment.
• Validate model performance and ensure regulatory compliance.

Connaissances

Statistical Modeling

Risk Management

Data Analysis

Communication Skills

Python

SAS

Excel

Formation

Bachelor’s degree in Statistics, Finance, Engineering, Mathematics

Master’s degree (preferred)

Outils

OLS Regression

AR Modeling

Description du poste

Leading corporate and investment bank is seeking an experienced Risk Modeler (AVP/VP) to develop and stress-test PPNR models for revenue forecasting and risk assessment across its banking and trading functions. This role is ideal for a risk management professional with strong statistical modeling expertise in capital markets who wants to grow within a top-ranked financial institution. The candidate should have a deep understanding of revenue generation, risk factors, and regulatory requirements in banking and trading.

Location is on-site at bank's headquarters in Midtown Manhattan 4 days a week. Must be authorized to work in the U.S. (no sponsorship)

Key Responsibilities

• Develop and implement PPNR models for revenue forecasting and risk assessment.
• Analyze revenue streams from banking and trading activities, including interest income, fees, and trading gains.
• Identify and assess risks such as market, credit, operational, and liquidity risk.
• Validate and monitor model performance to ensure accuracy and regulatory compliance.
• Stay updated on industry trends, regulations, and best practices in risk modeling.
• Assist in model development, maintenance, and documentation using statistical methods (e.g., OLS regression, AR modeling) in compliance with Federal Reserve SR 11-7.

Qualifications:

• Bachelor’s degree in Statistics, Finance, Engineering, Mathematics, or related quantitative fields (Master’s preferred).
• Experience in capital markets risk management and predictive modeling.
• Strong proficiency in Python, SAS, Excel, and statistical modeling techniques.
• Understanding of banking and trading revenue streams and financial products.
• Familiarity with risk management principles and regulatory requirements (e.g., Basel III, Dodd-Frank, SR 11-7).
• Ability to analyze large data sets, identify insights, and communicate findings.
• Good communication skills (presentation and written) and the ability to explain concepts to non-technical audiences.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance and Analyst

Industries

Investment Banking, Capital Markets, and Banking