• You will play a key role in maintaining and updating the company's credit risk policies for acquisitions and servicing
  
• You will be challenged to think creatively to develop analyses that incorporate multiple alternative data sources to support credit risk management and improve operational efficiency at all stages of the credit life cycle

Your responsibilities will be, but not limited to:

• Building, testing, and improving on our innovative credit risk models
• Completing exploratory data analyses of large sets of public, private, and proprietary data to develop new business insights
• Maintaining in-depth familiarity with the company s underwriting process to help improve and support operational processes
• Identifying internal and macro trends, and providing business recommendations to address them.

THE QUALIFICATIONS

• Bachelors Degree in a quantitative discipline like Economics, Finance, Mathematics, Statistics or related field, advanced degree preferred
• At least three years experience in data analytics, credit analytics, and/or risk management.
• Practical experience with statistical platforms such as R, Python, SAS, SPSS, or Matlab
• Advanced data modeling and data programming skills using large, complex data schemas
• Extremely detail oriented and organized
• Ability to explain analytical concepts to non-technical audiences
• A passion for financial inclusion and access to higher education is a must, as well as comfort working with a global team across multiple time zones and locations

Skills: Risk Management, Data Analytics, Sas, Spss, Data Modeling, Matlab, Python, Credit Analytics

Experience: 3.00-5.00 Years