Risk Analyst in Atlanta, GA at Check Into Cash

Date Posted: 11/14/2019

Job Snapshot

  • Employee Type:
  • Location:
    Atlanta, GA
  • Job Type:
  • Experience:
    At least 2 year(s)
  • Date Posted:

Job Description


About Our Company:

Explore exciting opportunities in fast pace and ever changing alternative lending space. Check Into Cash is a national leader in direct lending, providing customers with affordable, short-term, credit solution.  We provide on-line and In-store loans to customers through a variety of products and services.

Role Description:

Analyze internal and external data in order to provide management with informed and well-defended recommendations on how to extend loans quickly and profitably both on-line and in-store. Develop new tools, leverage a variety of statistical techniques, and explore new sources of data that will help identify new customers, drive revenue growth, reduce fraud and credit losses.  


  • Develop credit policy across the loan life cycle.
  • Identify opportunities to increase customer acceptance.
  • Optimize the application traffic to growth revenue and manage credit and fraud losses.
  • Work closely with members of the Data Warehouse, Model Development team and Decision Support teams in order to facilitate the creation of accurate, meaningful data for business analytics.
  • Work across different functions to support new product roll-outs.
  • Ensure all statistical tools and decision processes are performing as expected.
  • Staying current on trends in the lending industry as well as the legal, compliance and market related issues.
  • Develop a strong understanding of the customer needs.
  • Work with multiple functions in order to develop product decision processes that will be implemented across multiple system platforms.
  • Leverage technology to improve efficiencies of the application process as well as develop new business opportunities.
  • Must be committed to continuous self-improvement and learning about data and analytics in the lending industry.


  • BS or Master’s degree in Economics, Statistics or other quantitative field with 2 or more years of experience in a quantitative analysis roles.
  • Must have 5+ years of experience in developing credit policy or models.
  • Must be able to demonstrate that they understand how to apply analytics to drive credit product profitability.
  • Must be able to work across multiple functions.
  • Experience with statistical modeling packages such as SAS, R or SPSS.
  • Proficient in using the output of econometric or statistical modeling techniques (Linear/Logistic Regression, Two-Stage Models, Nested Logit, etc.) to draw conclusions from available data.
  • Strong communication and interpersonal skills with the ability to present conclusions and methodologies across a wide range of audiences.
  • Strong problem solving and conceptual thinking abilities.
  • Must be able to incorporate changes and new trends in the industry into the product decision processes.
  • Experience in handling multiple concurrent projects.
  • Ability to translate analytical findings into actionable, customer strategies which will have a measurable impact on business.


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