At a Glance
- Tasks: Lead a global team in developing innovative models and analytical tools for risk assessment.
- Company: Join Moody's, a global leader in ratings and integrated risk assessment.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a collaborative environment that values innovation and continuous learning.
- Why this job: Shape the future of risk analysis with cutting-edge AI and quantitative solutions.
- Qualifications: 10+ years in credit modelling and experience managing diverse teams.
The predicted salary is between 60000 - 80000 £ 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.
- Location
- New York, London, Paris, Frankfurt
- About the team
The Methodology and Model Development Group (MMDG) at Moody’s Ratings develops all the methodologies and analytical tools used in the rating process.
The team is a critical contributor to Moody’s Ratings methodologies across all sectors.
The Modelling and Quantitative Analytics Group (MQA) within MMDG advances quantitative modelling, data analysis and innovation, including Artificial Intelligence, to strengthen credit loss analytics and support transparent communication of the analytical foundations of Moody’s Ratings methodologies.
MMDG works closely with all groups across Moody’s Ratings to ensure methodologies are robust, consistent and fit for purpose.
Responsibilities
In MQA we are seeking an Executive Director to lead a global team of quantitative analysts and applied statisticians responsible for developing, calibrating and enhancing models and analytical tools used in the rating process.
Reporting to the Head of Modelling & Quantitative Analytics, this leader will help shape the next generation of transparent, predictive and easy-to-use analytical capabilities.
The successful candidate will combine strong quantitative judgment with strategic leadership, people development and change management.
They will simplify ways of working, strengthen consistency and transparency in modelling practices, and guide the responsible use of Artificial Intelligence and other emerging technologies in model development.
This role requires a collaborative and inclusive leader who can build trusted relationships across business, analytical, technology and control functions; translate stakeholder needs into action; and communicate complex analytical topics clearly to senior audiences.
The Executive Director will also attract, develop and empower high-performing talent, champion diverse perspectives and create an environment where teams can innovate, learn and deliver with impact.
This is a highly visible role for a pragmatic, decisive and execution-focused leader with the credibility to influence across a global organization.
- Lead model development, calibration, maintenance and enhancement to ensure best in class analytical approaches
- Facilitate, develop and implement strategic quantitative solutions to ensure Moody’s is the Rating Agency of Choice for now and the future.
- Partner with senior leaders and analytical teams to understand business priorities, market developments and the analytical rationale for model design and use.
- Oversee the model development pipeline, set priorities and provide clear, transparent progress updates to senior management.
- Identify and implement process, technology and analytical improvements that reduce risk, improve efficiency and strengthen model quality and facilitate digitalization.
- Build, develop and retain a high-performing global team with strong credit, quantitative, technical and change leadership capabilities.
- Lead initiatives that advance innovation, including the responsible use of Artificial Intelligence and machine learning in model development.
- Foster an inclusive environment where diverse perspectives, collaboration and continuous learning lead to better outcomes.
- Set a strong leadership example by acting with integrity, building trust and creating clarity for the team.
Qualifications
- 10+ years of professional experience in Credit modeling, statistical analysis, validation, or equivalent.
- Advanced degree in Economics, Finance, Math, Statistics or equivalent
- Experience managing global quantitative teams, with a track record of motivating people, developing talent and leveraging diverse skillsets.
- Experience with Artificial Intelligence models and tools.
- Strategic thinker with the ability to execute across teams and simplify quantitative and data work to support digitalization.
- Proven ability to lead change, foster creativity and innovation, and adopt new modelling and technology tools for predictive analytics.
- Excellent communication skills, including the ability to explain complex analytical and strategic issues clearly and influence varied audiences.
- Collaborative, inclusive and open-minded leader who works across functions, builds trust and successfully manages change through partnership.
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.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position.
Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
#J-18808-Ljbffr
Exec Director-Analytics & Modeling employer: Moody's Investors Service
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 our comprehensive graduate programme, which offers hands-on experience across various teams and disciplines, ensuring that you develop the skills necessary for a successful career in risk analytics. Located in a dynamic global hub, you'll be part of a collaborative team dedicated to transforming the insurance landscape while enjoying the benefits of a supportive culture that values integrity and curiosity.
StudySmarter Expert Advice🤫
We think this is how you could land Exec Director-Analytics & Modeling
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Moody's Investors Service!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Exec Director-Analytics & Modeling at Moody's Investors Service.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Moody's Investors Service.
✨Apply Directly through Our Website
When you find a suitable opening like Exec Director-Analytics & Modeling at Moody's Investors Service, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Exec Director-Analytics & Modeling
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Moody's Investors Service, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Moody's Investors Service. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Moody's Investors Service
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Moody's Investors Service!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
