Senior Risk Analytics Lead, Commercial Lending

First Investors Financial Services, Inc.; Dallas (TX); On-site; USD 95,000 - 135,000; Full time

Job summary

Stellantis Financial Services, Inc. in the United States seeks a Senior Risk Analyst, Commercial Lending Analytics to support calibration and ongoing monitoring of commercial lending credit criteria.

You’ll build dealer risk-rating frameworks, portfolio surveillance, and early-warning indicators while collaborating with Lending, Policy, and Model Risk teams. Responsibilities include developing analyses with SQL, Python, R, SAS, and Power BI; presenting to upper management; and maintaining data

Qualifications

• Five years of experience in data analytics or credit analysis.
• Familiarity with financial statement analysis (balance sheet, cash flow, leverage).
• Proficient with SQL, Fabric, Python, R, SAS.
• Experience with Power BI and MS Office.
• Detail oriented with problem solving and communication skills.

Responsibilities

• Mine, process and analyze data using SQL, Fabric, R, Python, SAS, Power BI, and Excel.
• Develop and present analysis on performance, trends, and projections to upper management.
• Prepare recurring and ad-hoc portfolio analysis and reporting.
• Build and validate dealer risk-rating models and credit scorecards.
• Collaborate with IT and business lines to manage relational databases and large data sets.
• Support calibration of dealer floorplan lending criteria and audit cadence.

Skills

SQL

Python

R

SAS

Power BI

Excel

Credit risk analytics

Education

Bachelor’s Degree in Mathematics/Statistics/Economics/CS/Finance

Tools

Fabric

Power BI

MS Office

Job description

Stellantis Financial Services, Inc. in the United States seeks a Senior Risk Analyst, Commercial Lending Analytics to support calibration and ongoing monitoring of commercial lending credit criteria.

You’ll build dealer risk-rating frameworks, portfolio surveillance, and early-warning indicators while collaborating with Lending, Policy, and Model Risk teams. Responsibilities include developing analyses with SQL, Python, R, SAS, and Power BI; presenting to upper management; and maintaining data