At a Glance
- Tasks: Lead validation reviews of credit models and manage AI model risks.
- Company: Join Moody's, a leader in quantitative finance and analytics.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on innovation and ethical governance.
- Why this job: Shape the future of AI in finance and drive strategic transformation.
- Qualifications: 10+ years in model development and strong programming skills required.
The predicted salary is between 100000 - 150000 € per year.
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.
- 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 a quantitative discipline is essential, with a preference for candidates holding a post‑graduate degree.
Responsibilities
- 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 Generative AI 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.
Vice President - Modeling & Quant Analytics (MRG) in London employer: PassFort
Moody's Corporation is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the field of quantitative finance and AI. With a strong commitment to employee growth, we provide ample opportunities for professional development and mentorship, ensuring that our team members thrive in their careers. Located in a vibrant city, our culture promotes trust, respect, and a growth mindset, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Vice President - Modeling & Quant Analytics (MRG) in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, webinars, or local meetups related to quantitative finance and AI. Building relationships can open doors that a CV just can't.
✨Showcase Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio of projects showcasing your expertise in AI, model validation, and programming. This will give potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common questions related to quantitative finance and AI. Be ready to discuss your past experiences and how they relate to the role. Remember, it's not just about answering questions but also about showing your passion for the field!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Vice President - Modeling & Quant Analytics (MRG) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your deep understanding of quantitative finance and AI model risk management in your application. We want to see how your experience aligns with the role, so don’t hold back on showcasing your expertise!
Be Clear and Concise:When articulating your ideas, keep it clear and to the point. We appreciate candidates who can communicate complex concepts fluently, so make sure your written application reflects that ability.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. This shows us you’re genuinely interested in the role and understand what we’re looking for.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us keep track of all applicants efficiently!
How to prepare for a job interview at PassFort
✨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 financial products and how they relate to the role, as well as any hands-on experience you've had with credit risk or market risk models.
✨Showcase Your AI Expertise
Prepare to talk about your experience with AI tools and how you've implemented advanced AI solutions in previous roles. Highlight any innovation initiatives you've led and be ready to discuss the ethical governance of AI, especially in relation to Generative and Agentic AI.
✨Communicate Clearly
Since the role requires articulating complex ideas, practice explaining your past projects and experiences in a clear and concise manner. Use examples that demonstrate your ability to simplify intricate concepts, making them accessible to different audiences.
✨Demonstrate Leadership and Collaboration
Be prepared to share examples of how you've built strong relationships within teams and provided constructive feedback. Discuss how you've fostered a culture of trust and collaboration, and how you’ve set actionable goals to drive team success.
