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Firm Risk Management
Morgan Stanley's Firm Risk Management (FRM) Division is an exciting space. We support Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, model and other risks.

Background on the Position
The role will reside within the Firm Risk Management's Risk Analytics area. Risk Analytics develops market risk analytics, credit risk analytics and scenario analytics models providing quantitative analysis for the Firm's risk exposures. By developing mathematical and statistical risk models, Risk Analytics calculates the risks associated with specified sets of financial positions and day-to-day operations. This role will be in the Credit Rating Analytics team, responsible for developing credit risk models.

Primary responsibilities for this role include:
- Keep up with the regulatory and business requirements on credit modeling approaches.
- Develop models for credit risk measures, while ensuring compliance with different regulatory requirements and internal standards.
- Work closely with the credit risk managers, model risk management group and risk IT team on model developments, enhancements, and implementations.
- Participate in regulatory exams and respond to regulatory inquiries on credit risk models.

Applicants must have either graduated from a four-year accredited university with a quantitative major such as Math / Physics / Statistics / Econometrics / Engineering / Computer Science or have an equivalent background.
- Hands-on experience and solid skills of financial model development is preferred.
- Strong skills in communication, critical thinking, and problem solving and collaboration.
- Curious about risk management, financial products, markets, and regulation.
- An interest in a fast-paced environment, often balancing multiple high priority deliverables.
- Strong attention to detail and ability to provide information in usable formats.
- Strong statistical, analytical, and programming skills (Python or equivalent).

Expected base pay rates for the role will be between $68,000 and $90,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. 

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. 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.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

This role is hybrid and currently requires in office attendance 3 days/week. The in office requirement is subject to change at any time.