Lead Data Scientist, Credit Analytics & AI

PassFort; New York (NY); On-site; USD 133,000 - 192,000; Full time

Job summary

Moody's is seeking a highly skilled quantitative professional to advance credit analytics and predictive modeling across the organization. You will collaborate with cross‑functional teams to design innovative analytical solutions, build robust datasets, and ensure governance readiness.

The role focuses on leveraging econometrics, ML, and financial expertise to enhance risk assessment and decision‑making for clients worldwide, with a competitive US salary range based on experience.

Qualifications

• Master’s degree or higher in a quantitative field with relevant modeling experience.
• Strong coding skills in Python or R and SQL proficiency.
• Experience with large real-world datasets and data quality assessment.
• Proven ability to communicate complex models to non-technical audiences.
• Experience with credit risk or financial modeling is a plus.
• Familiarity with model risk governance and documentation standards.

Responsibilities

• Drive quantitative modeling innovation across credit analytics globally.
• Partner with business lines to improve modeling frameworks and use advanced techniques.
• Build datasets from large financial and market sources; ensure data quality.
• Support ongoing model development, recalibration, and performance analysis.
• Choose appropriate modeling approaches balancing accuracy and interpretability.
• Develop clear model documentation for governance and transparency.
• Present insights clearly to diverse audiences and stakeholders.
• Engage across projects to learn existing models and codebases.

Skills

Econometrics & statistics

ML & modeling

Data wrangling

Python / R

SQL

AI tools

Credit risk modeling

Financial statement analysis

Big data tools

Git/GitHub

Cloud platforms

Model governance

Communication skills

Education

Master's degree in quantitative field

Ph.D. in quantitative field

CPA (Preferred)

Tools

Spark

Athena

Parquet

GitHub

AWS

GCP

Azure

Job description

Moody's is seeking a highly skilled quantitative professional to advance credit analytics and predictive modeling across the organization. You will collaborate with cross‑functional teams to design innovative analytical solutions, build robust datasets, and ensure governance readiness.

The role focuses on leveraging econometrics, ML, and financial expertise to enhance risk assessment and decision‑making for clients worldwide, with a competitive US salary range based on experience.