Generative AI Model Risk Manager (Vice President) at Morgan Stanley

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Model Risk Management, Machine Learning, Artificial Intelligence, Natural Language Processing, Team Leadership, Stakeholder Engagement, Financial Markets, Communication Skills, Programming, Evaluation Frameworks, Governance Practices, Quantitative Mindset, Performance Monitoring, Testing Design, Ongoing Monitoring

Industry

Financial Services

Description

Generative AI, Model Risk Management Vice President We are seeking a Manager / Vice President to join our team, focusing on the review and validation of Generative AI use cases developed by various business units. This position involves collaboration with MRM professionals globally, including teams in New York, London, Budapest, Frankfurt, Mumbai, and Tokyo. Our Model Risk Management (MRM) group, part of the Global Firm Risk Management (FRM) department, is tasked with the independent risk control, review, and validation of models used across the firm. This includes a diverse range of models such as pricing models for derivatives, counterparty credit risk (CVA), market risk, credit risk, operational risk, wealth management products, and capital and liquidity stress tests. Our team also evaluates AI, ML, and Generative AI (GenAI) solutions. 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: GenAI Use Case Review: Conduct and oversee comprehensive reviews of GenAI use cases across different functional areas. Evaluate and challenge aspects such as inputs, outputs, evaluations, usage, prompts, testing design, performance, and ongoing monitoring plans. Team Leadership: Manage and lead a local team responsible for these reviews, ensuring high standards of quality, efficiency, and collaboration. Stakeholder Engagement: Cultivate and maintain positive relationships with GenAI use case developers, Firmwide AI, Non-Financial Risk, and other control functions to ensure alignment and effective communication. Industry Awareness: Stay informed on key developments in the rapidly emerging field of GenAI, including foundation models, evaluation frameworks, and emerging governance practices. Strategic Input: Provide insights and input to discussions with senior management and regulators, leveraging your expertise in GenAI and model risk management. What you’ll bring to the role: Educational Background: MSc in STEM or Finance. Experience: 1-3 years of experience in GenAI (LLMs and their applications), Machine Learning, Artificial Intelligence, or Natural Language Processing, with a focus on model development or validation. A total of 5+ years of work experience, including 2+ years of management experience (not necessarily in an AI team). Financial Markets Interest: A genuine and broad interest in financial markets, with an internal drive to effectively challenge and improve models using a quantitative and practical mindset. Communication Skills: Strong interpersonal and communication skills are essential for effective stakeholder engagement and team management. Technical Skills: Experience with programming in a high-level language such as Python is a plus. #LI-JL1 #BPMM #LI-HYBRID 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. Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

Conduct and oversee comprehensive reviews of Generative AI use cases across different functional areas. Manage a local team responsible for these reviews, ensuring high standards of quality and collaboration.