Associate Data Scientist - AI-Driven Risk Analytics

Moody's Investors Service; New York (NY); On-site; USD 90,000 - 131,000; Full time

Job summary

Moody's Investors Service is seeking candidates for a quantitative modeling role within the Asset Management team in New York. You will support modeling, research, solution development, and collaborate with Sales and Customer Success to deliver client-ready insights.

Ideal candidates have a bachelor’s degree in finance or economics, strong data skills with Python/R, and experience working with large datasets and econometrics.

Qualifications

• Bachelor’s degree in asset management, banking, or a related discipline.
• Experience working with large real-world datasets and financial data.
• Strong programming skills in Python and R, with data analysis experience.

Responsibilities

• Enhance and maintain quantitative modeling solutions.
• Collaborate with research teams to develop new models and content (articles, blogs, white papers, etc.).
• Develop models and solutions for asset management leveraging Moody’s data and external data.
• Deliver proof-of-concept projects with Asset Management Sales and Customer Success teams; assist internal knowledge sharing.

Skills

Python

R

Econometrics

Statistics

Machine Learning

Data Cleaning

Independent Work

AI Tools

Education

Bachelor’s degree in finance/economics or related

Job description

Moody's Investors Service is seeking candidates for a quantitative modeling role within the Asset Management team in New York. You will support modeling, research, solution development, and collaborate with Sales and Customer Success to deliver client-ready insights.

Ideal candidates have a bachelor’s degree in finance or economics, strong data skills with Python/R, and experience working with large datasets and econometrics.