At a Glance
- Tasks: Lead AI model risk management and validate credit rating models with innovative techniques.
- 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: Collaborative environment fostering innovation and ethical AI practices.
- Why this job: Make a real impact by decoding risk and unlocking opportunities with cutting-edge AI.
- 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.
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.
- 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) employer: hackajob
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 mentorship opportunities and a culture that champions continuous learning, particularly in the rapidly evolving fields of AI and quantitative finance. Located in a vibrant city, our team enjoys not only competitive benefits but also the chance to be at the forefront of transforming risk into opportunity, making a meaningful impact in the financial landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Vice President - Modeling & Quant Analytics (MRG)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Moody's through LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by diving deep into AI model risk management. Brush up on your knowledge of Generative AI and Agentic AI, as well as the latest trends in quantitative finance. We want to show that we’re not just knowledgeable but also passionate about the field!
✨Tip Number 3
Practice articulating complex ideas clearly. Mock interviews with friends or mentors can help us refine our communication skills. Remember, it’s all about making those intricate concepts sound simple and engaging!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how we embody Moody's values and the specific skills they’re looking for.
We think you need these skills to ace Vice President - Modeling & Quant Analytics (MRG)
Some tips for your application 🫡
Show Your Passion for AI and Quant Analytics:When writing your application, let your enthusiasm for AI and quantitative finance shine through. Share specific examples of how you've used these skills in past roles to drive innovation or solve complex problems.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Vice President role. Highlight relevant experiences that align with Moody's values and the job description, especially your leadership in AI model risk management and quantitative analysis.
Be Clear and Concise:In your written application, clarity is key. Use straightforward language to articulate your ideas and experiences, ensuring that your qualifications are easy to understand and directly related to the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. This way, your application will be directed to the right team, and you'll have access to all the latest updates about your application status.
How to prepare for a job interview at hackajob
✨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 past experience that showcase your expertise in these areas.
✨Showcase Your Leadership Skills
Since this role involves leading teams and fostering a culture of trust, prepare to share instances where you've successfully managed teams or projects. Highlight how you’ve inspired collaboration and encouraged diverse perspectives within your team.
✨Be Ready for Technical Questions
Expect to dive deep into programming languages like R, Python, and SQL during the interview. Brush up on your coding skills and be prepared to solve problems or explain your thought process when it comes to model development and validation.
✨Articulate Complex Ideas Clearly
Practice explaining complex concepts in a simple and clear manner. This is crucial for the role, so think about how you can break down intricate ideas related to AI and risk management into digestible pieces for your interviewers.