Baltimore, Maryland, USA
6 days ago
Model Risk (Risk Management) : Job Level - Associate
JOB LEVEL

Associate (Professional)
TIER

NA
We're seeking someone to join our team as a Model Risk Management Associate, Generative AI. Morgan Stanley's Model Risk Management team is seeking a talented professional for our Budapest office. This role is pivotal in reviewing Generative AI (GenAI) use cases developed by various business units.

In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives. 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 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

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

Contribute to provide input to discussions with senior management and regulators

What you'll bring to the role: MSc in STEM or Finance or equivalent.

At least 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.

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.

Salary range for the position: [$80 000 - $115 000/] Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and X Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.

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).

Por favor confirme su dirección de correo electrónico: Send Email