Position Details
About this role
Data Quantitative Analyst focusing on commercial credit risk, leveraging SAS and Python to analyze PD/LGD, develop models, and produce dashboards for risk governance.
Key Responsibilities
- Contribute to Risk Rating Framework; review PD/LGD Masterscales and scorecards; analyze large datasets with SAS/Python; collaborate on model governance; present dashboards to management
Technical Overview
Statistical modeling and data analysis using SAS and Python; PD/LGD framework; model governance and risk dashboards.
Ideal Candidate
The ideal candidate is a mid-level data analyst specializing in credit risk with 3+ years of experience, strong SAS and Python skills, and experience with PD/LGD and scorecards plus model governance. They should be adept at handling large data sets and communicating insights to management.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Insufficient experience in credit risk or data analysis, Lack of SAS/Python/SQL proficiency, No ability to work in Buffalo, NY
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile