AVP Mgr-Analytics & Modeling

Skills and competencies

• Proven track record of successfully modeling, building, and putting in production machine learning applications.
• Good understanding of the tools explaining machine learning predictions.
• Expertise in Python and SQL.
• Knowledge of cloud services, with experience in AWS or Microsoft Azure being a plus.

Qualifications

• Master’s degree or Ph.D. in data science, computer science, statistics, mathematics, or a related quantitative field.
• 6-8 years of experience in machine learning, with a strong knowledge of algorithms and principles.
• Proven track record of successfully modeling, building, and putting in production machine learning applications.
• Good understanding of the tools explaining machine learning predictions.
• Expertise in Python and SQL.

Responsibilities

• Manage the verification function of ML/AI models within Model Verification Team.
• Develop ML/AI model risk framework to be compliant with Moody’s internal policy and procedure as well as regulatory expectation/requirements.
• Verifying the implementation of predictive analytics models against requirements and specification to ensure they are correctly coded and function as intended.
• Conducting quality assurance tests to validate model performance and accuracy.
• Collaborating with data scientists, technology teams, and other stakeholders to ensure models are robust and reliable.
• Developing and maintaining documentation for model verification processes and results.
• Communicating findings and recommendations to business stakeholders and decision-makers.
• Staying current with the latest research and technology developments in predictive analytics and model verification.

• Evaluating and selecting the best tools and IT architectures for model verification

About the team.

This AVP-Analytics & Modeling role is part of the Model Verification team within Credit Strategy & Standards, who will be responsible for verifying the implementation and quality assurance of Moody's proprietary predictive analytics models. The successful candidate will ensure that models are accurately implemented, perform as expected, and meet the highest standards of quality