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 Role Overview: 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. Top 3 Must-Haves: • Strong SQL skills. • Experience in Home Improvement lending/underwriting . • Strong analytical/credit risk background . Nice to Have: • 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. Minimum Qualifications: • 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. Preferred Qualifications: • 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.

Requirements

Must-haves

Job Title: Senior Credit & Loss Analytics Analyst
Work Hours: 8:00 AM – 5:00 PM EST, Monday – Friday
Duration: 6+ months Contract with the potential of extension
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 .

Nice-to-haves

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)
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.
Master’s degree in Finance, Business, Economics, or a quantitative field.
Strong experience in credit risk, consumer lending, and underwriting analytics.

Application prep

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Keywords to mirror

sqlpython

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Effort: medium