Model Risk (Risk Management) : Job Level - Associate at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

140000.0

Posted On

05 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Validation, Statistical Techniques, Quantitative Finance, Statistical Software, Customer Behavior Modeling, Deposit Products, Lending Products, Machine Learning Techniques, Risk Prioritization, Analytical Questioning, Dynamic Environment, Valuation Models, PPNR Models, Model Limitations, Regulatory Guidance, Model SR 11-7

Industry

Financial Services

Description

> Perform independent model reviews compliant with Model Risk Management policies and procedures, regulatory guidance and industry leading practices, including evaluating conceptual soundness, modeling methodology, assumptions, model limitations / weaknesses, and on-going monitoring for Firm's valuation models and PPNR models to support Wealth Management deposits (sweeps, savings) and lending products. > Communicate model validation conclusions to Validation Head for WM Deposits and Lending models and relevant stakeholders and engage relevant 1LOD and 2LOD functions to adequately resolve identified model issues. > Write comprehensive and high-quality review reports for models validated > Support engagements with Internal Audit and regulators as required Experience Required > 2+ years performing model validations, preferably of valuation models or PPNR models. > Working knowledge of statistical techniques, quantitative finance. > Proficiency in statistical software packages. > Experience with modeling of customer behavior ; deposit or lending products, or treasury investment portfolio is a plus. > Sound understanding of model SR 11-7/OCC 2011-12. > Graduate degree in Finance, Mathematics, Physics, Statistics or similar quantitative field. > Knowledge of machine learning techniques is a plus. > Risk-oriented mindset including effective risk prioritization, critical and analytical questioning, and ability and willingness to speak up. > Desire and ability work in a dynamic, fast-paced, high-pressure environment focusing on challenging tasks mixing fundamental, quantitative, and market-oriented knowledge and skills. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $100,000 and $140,000 year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Responsibilities

Perform independent model reviews compliant with Model Risk Management policies and procedures. Communicate model validation conclusions to relevant stakeholders and engage functions to resolve identified model issues.