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#2825 Data Analysis Intern - Durham, NC

The Organization:

Self-Help is a leading national community development financial institution (CDFI) headquartered in Durham, NC. Founded in 1980, Self-Help has provided over $7 billion in financing to 131,000 families, individuals and businesses underserved by traditional financial institutions. It helps drive economic development and strengthen communities by financing hundreds of homebuyers each year, as well as nonprofits, child care centers, community health facilities, public charter schools, and residential and commercial real estate projects. The Self-Help family of non-profit organizations includes North Carolina’s Self-Help Credit Union, Self-Help Federal Credit Union, Self-Help Ventures Fund and the Center for Responsible Lending, a national policy and advocacy organization addressing abusive lending practices. Through its credit union network, Self-Help serves over 129,000 people in North Carolina, California, Chicago and Florida and offers a full range of financial products and services. Learn more at, and


Internship Program:

Self-Help/CRL offers a 10 week summer internship program that is designed to give students valuable experience in a professional setting while broadening their knowledge of Community Development Financial Institutions (CDFI’s).  Along with each specific intern project, the intern will participate in a series of brownbag lunches to learn more about Self-Help and the Community Development industry as a whole.  Interns will also be given the opportunity to network with one another and other Self-Helpers through a variety of planned events.


Internship Description:

The Secondary Market team purchases mortgage loans made to low and moderate income families for Self-Help Credit Union.  The Secondary Market team purchases loans to make homeownership and build wealth for families and also to demonstrate the credit worthiness of families left out of the traditional credit system.  This internship will assist in data analysis model creation.  Creating these models is critical to create the business case and policy case for low and moderate income homeownership.  We will use this information to formulate our pricing models and also the Center for Responsible Lending will advocate nationally on appropriate pricing for loans made to low and moderate income families with this information. 


The Secondary Market team monitors performance of the loans, including mortgage delinquency and loss.  The Data Analysis Intern will use longitudinal datasets from Fannie Mae to support the development of models of mortgage loan performance that inform the relationship between delinquency and loss given a specified set of mortgage loan characteristics.

Essential Responsibilities:

  • Research public-use data
  • Download, import, clean, and merge data
  • Write statistical programs according to standards set forth by supervisory staff
  • Document and write-up a description of the analysis project and any results found


Minimum Qualifications:

  • Quantitative skills
  • Statistical programming experience
  • Training in research methods and data analysis

Desired Qualifications:

  • Ability to generate charts, figures, graphs, and maps using statistical programs
  • Understanding of mortgage markets
  • Experience with statistical modeling
  • Graduate student in statistics, mathematics, economics, geography, business, planning, or other program with robust data skills
  • Interest in community development

Physical Requirements:

Frequently requires use of manual dexterity and repetitive motions, primarily with the wrists, hands, and/or fingers.  Must be able to occasionally lift and exert force of up to 10 pounds.





Please submit a thoughtful cover letter describing why you are interested in this internship and a resume to  with the internship title as the subject by March 22, 2019.

Self-Help is committed to providing equal employment opportunities to all persons regardless of race, color, class, age, gender, religion, disability that can be accommodated, marital status, ancestry, nationality, family status or sexual orientation.