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Senior Loan Data Associate
ALM FirstSenior Loan Data Associate analyzing loan and credit data across various products. Leveraging statistical methods and BI tools to provide insights for senior leadership on credit performance and risk.
Tech Stack
Tools & technologiesCloudPythonSQLTableau
About the role
Key responsibilities & impact- Analyze loan-level and portfolio-level data across products (e.g., consumer, mortgage, commercial, indirect, HELOC)
- Evaluate credit performance, delinquency, charge-offs, prepayments, and loss severity
- Develop cohort, vintage, and roll-rate analyses to assess portfolio health
- Support stress testing, and scenario analysis efforts as applicable
- Identify emerging risk trends and performance outliers within loan portfolios
- Apply statistical and data science techniques (e.g., regression, forecasting, segmentation, survival analysis) to loan and credit datasets
- Develop analytical models to support underwriting, pricing, and portfolio strategy
- Test hypotheses related to credit performance, borrower behavior, and economic sensitivity
- Ensure analytical rigor, appropriate assumptions, and validation of results
- Design, build, and maintain dashboards and reports using BI tools (Power BI, Tableau, Looker, or similar)
- Partner with credit, finance, and lending leaders to define KPIs and performance metrics
- Automate recurring portfolio reporting and monitoring
- Ensure consistency and accuracy in data definitions and reporting outputs
- Translate complex analyses into clear, decision-oriented insights
- Prepare executive-ready presentations highlighting trends, risks, and recommendations
- Communicate findings to credit committees, senior management, and other stakeholders
- Provide data-backed recommendations that inform loan strategy and risk appetite
- Collaborate with data engineering, IT, and lending teams to source, clean, and structure loan data
- Support data governance, documentation, and audit readiness
- Improve data quality, transparency, and analytical repeatability.
Requirements
What you’ll need- Bachelor’s degree in Statistics, Data Science, Mathematics, Economics, Finance, or a related quantitative field
- Strong foundation in statistics and quantitative analysis
- 5+ years of experience in loan analytics, credit risk, financial analytics, or a related role
- Advanced SQL skills and experience working with large relational datasets
- Hands-on experience with BI platforms (Power BI, Tableau, Looker, etc.)
- Strong understanding of loan performance metrics and credit risk concepts
- Excellent written and verbal communication skills.
- Master’s degree in Statistics, Data Science, Finance, or Applied Economics (preferred)
- Experience with Python or R for statistical modeling and analysis (preferred)
- Familiarity with CECL, stress testing, or regulatory reporting (preferred)
- Experience working in banking, credit unions, fintech, or other regulated lenders (preferred)
- Exposure to cloud data platforms and modern data stacks (preferred).
Benefits
Comp & perks- ALM First believes deeply in equality and strongly supports diversity and inclusion.
- We will continue our commitment to financial inclusion for all Americans as we serve the clients providing critical financial resources to the communities that need them most.
- We are always looking at how we can improve our own policies and practices to encourage diversity through the use of our designated committee.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
statistical analysisdata science techniquesregressionforecastingsegmentationsurvival analysisanalytical modelingSQLPythonR
Soft Skills
communicationcollaborationanalytical rigorpresentation skillsdecision-oriented insightsdata-backed recommendationsproblem-solvingattention to detailorganizational skillsstakeholder engagement
Certifications
Bachelor’s degree in StatisticsBachelor’s degree in Data ScienceBachelor’s degree in MathematicsBachelor’s degree in EconomicsBachelor’s degree in FinanceMaster’s degree in StatisticsMaster’s degree in Data ScienceMaster’s degree in FinanceMaster’s degree in Applied EconomicsCECL familiarity