Senior Credit & Loss Analytics Analyst
Employment type
Full-time
Work setting
Hybrid
Location
Columbus, OH
Schedule
Day shift
Posted
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Job overview
The Senior Credit & Loss Analytics Analyst role is hybrid in Columbus, OH, with onsite work required once a week; Salt Lake City, UT and Chadds Ford, PA are also considered. Compensation is not specified. The role supports the Credit Management team, focusing on Home Improvement underwriting and credit risk analytics. This analyst evaluates credit risk and underwriting performance, develops credit strategies, and turns data into recommendations that support profitable growth and sound credit decisions. The work includes SQL-based analysis, reporting, stakeholder presentations, and dashboards as needed.
What you'll do
- Analyze Home Improvement credit risk and underwriting practices
- recommend enhancements
- develop and assess account acquisition and credit strategies
- analyze historical performance and recommend changes to credit limits, approvals, declines, and loan terms
- query and analyze data using SQL and Python, Excel, SAS, and/or R
- report on credit risk and loss metrics
- handle ad hoc analysis
- present findings to leadership and stakeholders
- collaborate across teams
- support regulatory and internal policy alignment
- create dashboards as needed.
What we're looking for
- Skills & competencies
- senior credit & loss analytics analysthome improvement lendingcredit risk analyticsunderwritingsqlpythonexcelsastableaupower bicolumbus ohtpi global solutions
- Work arrangement
- Weekend coverage required
Why this role
Hybrid role with onsite attendance once weekly; Home Improvement lending and underwriting focus; SQL is a must-have.
About the employer
TPI Global Solutions is hiring for this role. Industry: Administrative Management and General Management Consulting Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Administrative Management and General Management Consulting Services
- Occupation code
- 13-1111.00
You'll be redirected to the employer's application page.
Listing ID: 97d72159-b81c-46bf-80d8-e5a9443bab2d