At a Glance
- Tasks: Lead AI model risk management and validate credit rating models across asset classes.
- Company: Join Moody's, a global leader in risk assessment and innovative AI solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative team environment focused on innovation and ethical AI practices.
- Why this job: Make an impact by transforming how the world sees risk with cutting-edge AI.
- Qualifications: 10+ years in quantitative finance, strong AI expertise, and programming skills required.
The predicted salary is between 100000 - 150000 € per year.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills And Competencies- A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets.
- A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance.
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency.
- Strong experience using AI tools to lead innovation initiatives.
- Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.
- The ability to articulate complex ideas fluently and clearly.
- Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base. Knowledge of C++ programming is preferred.
- Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary.
- 10+ years of experience in model development, validation, and risk analytics is necessary.
- The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development.
- Execute and lead independent validation reviews of credit rating models, scorecards, including hands‐on assessment of inputs, assumptions, conceptual soundness, performance, and limitations.
- Lead AI model risk management activities end‐to‐end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI.
- Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad‐hoc quantitative investigations.
- Own validation outputs end‐to‐end, from test plan design through clear, concise validation reporting and effective challenge of model developers.
- Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject‐matter expert across analytical and methodology teams.
- Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies.
The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards.
Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Vice President - Modeling & Quant Analytics (MRG) in London employer: Moody's Corporation
At Moody's, we pride ourselves on fostering an inclusive and innovative work environment where every employee is empowered to contribute their unique perspectives. Our commitment to professional growth is evident through extensive training opportunities and a culture that champions collaboration and trust. Located in a vibrant city, we offer competitive benefits and the chance to be at the forefront of AI-driven risk assessment, making a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Vice President - Modeling & Quant Analytics (MRG) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and quantitative finance. The more you rehearse, the more confident you'll feel when it’s showtime!
✨Tip Number 3
Showcase your skills! Bring examples of your work or projects to interviews. This is your chance to demonstrate your expertise in model validation and AI solutions.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we value diverse perspectives and might see something special in your application.
We think you need these skills to ace Vice President - Modeling & Quant Analytics (MRG) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight how your skills and experiences align with the role. We want to see how you can turn risks into opportunities, so don’t hold back on showcasing your relevant achievements!
Showcase Your Quant Skills:Since this role is all about quantitative finance and AI, be sure to emphasise your expertise in these areas. Mention specific projects or tools you've used, like R or Python, that demonstrate your ability to tackle complex problems.
Be Authentic:We value diverse perspectives and authenticity, so let your personality shine through in your application. Share your passion for AI and risk management, and don’t hesitate to express why you’re excited about joining Moody's!
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to review your application and get you one step closer to joining our team!
How to prepare for a job interview at Moody's Corporation
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance knowledge, especially around model validation and AI model risk management. Be ready to discuss specific examples from your experience that showcase your expertise in these areas.
✨Showcase Your AI Savvy
Since the role involves advanced AI solutions, prepare to talk about your experience with AI tools and how you've implemented them in past projects. Highlight any innovative initiatives you've led and the impact they had on operational efficiency.
✨Communicate Clearly
Practice articulating complex ideas in a clear and concise manner. You might be asked to explain technical concepts, so being able to break them down for a non-technical audience will demonstrate your communication skills and leadership potential.
✨Build Relationships
Emphasise your ability to build strong, collaborative relationships within teams. Prepare examples of how you've inspired and coached team members, and how you've fostered a culture of trust and innovation in your previous roles.