VP, Model Risk Control Specialist at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

205000.0

Posted On

08 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Risk Management, Model Governance, Artificial Intelligence, Machine Learning, Qualitative Analyses, Documentation, Financial Crimes, Compliance Models, Financial Markets, Interpersonal Communication, Presentation Skills, Root-Cause Analyses, Model Development, Model Maintenance, Model Remediation, Tuning

Industry

Financial Services

Description

> Draft documentation on design of models, establish ongoing monitoring controls in collaborating with quantitative analysts and provide subject matter expertise on model risk to develop, or enhance, models > Maintain existing models by executing qualitative analyses associated with ongoing monitoring, periodic assessments, and tuning > Assist with adding, editing and identifying new models, documenting model changes, and reconciling model inventory information > Perform root-cause analyses associated with potential anomalies detected in model performance or as part of below-the-line testing > Document, or oversee, the analyses, recommendations, and rationales for each activity related to the models > Assist in the preparation of periodic and ad hoc reports for senior management, and regulators > Track and report model changes and results of model tuning and optimization activities to LCD advisory heads, the Model Risk Management, and the Internal Audit groups > Draft and update policies and procedures, as needed At least 8 years' relevant experience would generally be expected to find the skills required for this role > Bachelor's degree in a related field. > Expertise in model risk management, particularly model governance, including a strong understanding of Fed SR 11-7/ OCC Bulletin 2011-12 on Model Risk Management > Understanding of model development, maintenance, and remediation, including for Artificial Intelligence and Machine Learning models > Strong written, interpersonal communication, and presentation skills > Understanding of financial crimes and compliance models as well as financial markets and banking in general. 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 per 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

The VP, Model Risk Control Specialist will draft documentation on model design, establish ongoing monitoring controls, and provide expertise on model risk. They will also maintain existing models, perform root-cause analyses, and assist in preparing reports for senior management and regulators.