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

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

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, Communication Skills, Programming, Financial Markets, Evaluation Frameworks, Governance Practices, Performance Monitoring, Quantitative Mindset, Testing Design, Ongoing Monitoring

Industry

Financial Services

Description

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. 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. 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. 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? Speak to our recruitment team to find out more. 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 and lead a local team responsible for these reviews, ensuring high standards of quality, efficiency, and collaboration.