Business Analyst (non-IT)-SR
TPI Global Solutions
Job Description
Job Description
Job Title: Senior Credit & Loss Analytics Analyst
Location: Columbus, OH preferred; Salt Lake City, UT and Delaware/Chadds Ford, PA will also be considered in that order(Hybrid Role - Required To Be Onsite Once A Week)
Work Hours: 8:00 AM – 5:00 PM EST, Monday – Friday
Duration: 6+ months Contract with the potential of extension
The Credit Management team is seeking a Senior Analyst who will focus specifically on Home Improvement underwriting and credit risk analytics . This role involves hands-on data analysis, SQL querying, Python/Excel analysis, credit strategy development, and potentially dashboard creation using Tableau or Power BI.
Key Responsibilities:
- Analyze Home Improvement credit risk and underwriting practices and recommend enhancements.
- Develop and assess new account acquisition and credit strategies to support profitable growth.
- Analyze historical performance and recommend improvements to credit limits, approvals/declines, and loan terms.
- Write and optimize SQL queries to extract and analyze credit and risk data.
- Use Python, Excel, SAS, and/or R for data analysis and reporting.
- Develop reports and insights on key credit risk and loss metrics.
- Handle ad-hoc analytical requests and investigate credit-related issues.
- Present findings and recommendations to Credit Risk Leadership and business stakeholders.
- Collaborate with Lead Analysts, the hiring manager, Brand Strategy, Client Partnership, and other teams.
- Ensure credit policies and procedures align with regulatory requirements and internal standards.
- Create dashboards and visualizations using Tableau, Power BI, or similar tools as needed.
- Strong SQL skills.
- Experience in Home Improvement lending/underwriting .
- Strong analytical/credit risk background .
- Experience presenting analytical findings to senior leadership.
- Python experience.
- Tableau, Power BI, or dashboarding experience.
- SAS and/or R experience.
- Experience with credit cards or other unsecured consumer lending.
- Bachelor’s degree in Finance, Business, Economics, Mathematics, Statistics, or another quantitative field.
- 5+ years of analytical experience focused on credit cards, consumer lending, or related credit risk areas.
- Strong analytical and presentation skills.
- Master’s degree in Finance, Business, Economics, or a quantitative field.
- 6+ years of experience with SAS/SQL, Python, and/or R.
- Strong experience in credit risk, consumer lending, and underwriting analytics.
Vacancy posted 19 days ago
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