At a Glance
- Tasks: Lead AI model validation and risk management, ensuring ethical governance and innovation.
- Company: Join Moody's, a global leader in risk assessment and AI transformation.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on trust, growth, and innovation.
- Why this job: Make a real impact in the world of finance and AI while fostering collaboration.
- Qualifications: 10+ years in quantitative finance, AI expertise, and strong 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.
- Highly organized, efficient, and detail-oriented, demonstrating a high level of accuracy in their work.
- Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment.
- The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential.
- Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills.
Education
A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post‑graduate degree.
Responsibilities
- 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.
About the team
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: 慨正橡扯
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 continuous learning opportunities and a culture that champions collaboration and trust. Located in a dynamic city, we offer competitive benefits and the chance to be at the forefront of AI advancements in risk management, making us an exceptional employer for those seeking meaningful and impactful careers.
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 lead to opportunities you might not find on job boards.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and think about how you can contribute to their mission—this will help you stand out!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with the role. Keep it concise but impactful—show them why you're the perfect fit.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t meet every requirement, we value diverse perspectives and you might just be the candidate we’re looking for.
We think you need these skills to ace Vice President - Modeling & Quant Analytics (MRG) in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about the opportunity to work with us at Moody's and how you can contribute to turning risks into opportunities.
Tailor Your CV:Make sure to customise your CV to highlight your relevant experience in quantitative finance and AI model risk management. We love seeing candidates who can connect their skills directly to what we’re looking for!
Be Clear and Concise:Articulate your ideas clearly in your written application. We appreciate candidates who can communicate complex concepts in a straightforward manner—this is key in our field!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting role at Moody's.
How to prepare for a job interview at 慨正橡扯
✨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 Generative AI and Agentic AI. Think of instances where you've implemented AI tools to drive innovation and how you managed the associated risks.
✨Communicate Clearly
You’ll need to articulate complex ideas clearly, so practice explaining your past projects in a straightforward manner. Use simple language to describe technical concepts, as this will demonstrate your ability to communicate effectively with diverse teams.
✨Demonstrate Leadership and Collaboration
Be prepared to discuss how you've built relationships and fostered a culture of trust within your teams. Share examples of how you've provided feedback, encouraged growth, and translated strategic goals into actionable plans for your team.