Model Risk (Risk Management) : Job Level - Associate at Ms

Generative AI, Model Risk Management - Associate

We're seeking someone to join our team as a Model Risk Management Associate to work as part of the Model Risk Management team focusing on reviewing Generative AI (GenAI) use cases developed by various business units.

The Model Risk Management group is part of the Global Firm Risk Management (FRM) department of Morgan Stanley and it has global responsibility for the independent risk control, review and validation of models used by Morgan Stanley. These include pricing models for derivatives in all asset classes, as well as models used for counterparty credit risk (CVA), market risk, credit risk, operational risk, wealth management products, and capital and liquidity stress tests. In addition to traditional methodologies, MRM also reviews AI and ML models, and GenAI solutions. MRM professionals in New York, London, Budapest, Frankfurt, Mumbai and Tokyo work closely with business capital, risk analytics, risk managers and financial controllers. The Budapest team works closely with other members of the Model Risk Management group on model issues across all asset classes globally.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

- Conduct and oversee the review for GenAI use cases across different functional areas and challenge aspects such as inputs, outputs, evaluations, usage, prompts, testing design and performances, and ongoing monitoring plan

- Manage a local team performing these reviews

- Cultivate and manage positive relationships with GenAI use case developers, Firmwide AI, Non-Financial Risk and other control functions

- Stay up to date on key developments in the rapidly emerging area of GenAI, including foundation models, evaluation frameworks and emerging governance

- Provide input to discussions with senior management and regulators - MSc in STEM or Finance.

- 1-3 years of working experience in GenAI (LLMs and their applications), Machine Learning, Artificial Intelligence, or Natural Language Processing in either model development or model validation.

- 5+ years of work experience

- Genuine and broad interest in financial markets; internal drive to effectively challenge and improve models with a quantitative and practical mindset

- Strong interpersonal and communication skills

- Experience with programming in a high-level language such as Python is a plus

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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. 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).

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