Credit Model Risk (Risk Management) : Job Level - Vice President

Morgan Stanley • New York, NY

2d • $120,000 - $205,000

About The Position

Credit Model Risk (Risk Management) : Job Level - Vice President

- Conduct independent model reviews and validations according to Model Risk Management policies, regulatory requirements, and industry best practices - Prepare clear validation documentation for each model - Communicate validation findings to senior management and stakeholders Qualifications - - 10+ years of relevant risk management experience, including model risk and risk analytics. - Previous experience on reserve models including CECL and IFRS9 preferred. - Master's or Doctorate in a quantitative discipline (Economics, Statistics, Mathematics, Physics, Computer Science, or Engineering) Familiar with wholesale and retail lending business. - Working knowledge of statistical techniques, quantitative finance, and programming is required; understanding of various complex financial instruments is beneficial. - Written and verbal communication skills, along with critical thinking, problem solving, and the ability to collaborate within a team, are necessary. - Familiarity with coding languages, particularly Python, is preferred. - Previous experience on stress loss modeling, PD, LGD, EAD modeling is helpful. - Knowledge of regulatory requirements (e.g., CCAR, ICAAP) and familiarity with regulators such as Fed, OCC, PRA, and EBA is preferred. - Interest in a fast-paced, collaborative setting with challenging tasks that blend fundamental, quantitative, and market skills is desirable. We do it in a way that's differentiated - and we've done that for 90 years. 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 $120,000 and $205,000 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.

Requirements

• 10+ years of relevant risk management experience, including model risk and risk analytics.
• Master's or Doctorate in a quantitative discipline (Economics, Statistics, Mathematics, Physics, Computer Science, or Engineering) Familiar with wholesale and retail lending business.
• Working knowledge of statistical techniques, quantitative finance, and programming is required; understanding of various complex financial instruments is beneficial.
• Written and verbal communication skills, along with critical thinking, problem solving, and the ability to collaborate within a team, are necessary.

Nice To Haves

• Previous experience on reserve models including CECL and IFRS9 preferred.
• Familiarity with coding languages, particularly Python, is preferred.
• Previous experience on stress loss modeling, PD, LGD, EAD modeling is helpful.
• Knowledge of regulatory requirements (e.g., CCAR, ICAAP) and familiarity with regulators such as Fed, OCC, PRA, and EBA is preferred.
• Interest in a fast-paced, collaborative setting with challenging tasks that blend fundamental, quantitative, and market skills is desirable.

Responsibilities

• Conduct independent model reviews and validations according to Model Risk Management policies, regulatory requirements, and industry best practices
• Prepare clear validation documentation for each model
• Communicate validation findings to senior management and stakeholders

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level