Credit Risk Data Analyst, Professional at Freddie Mac
McLean, VA 22102, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

98000.0

Posted On

05 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Statistics, R, Presentation Skills, Computer Science, Sas, Economics, Finance, Sql, Tableau, Mathematics, Excel, Python

Industry

Financial Services

Description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

POSITION OVERVIEW:

Be part of a team of strategists and problem solvers on the Single-Family Acquisitions – Seller Credit Analytics team (CARDS). Analytics, reporting, and the identification of emerging risks from our newly purchased loan portfolio are critical to Freddie Mac’s success and overall risk mitigation strategies. Bring together business partners and identify emerging industry trends in a fast-paced, exciting, and diverse work environment. Apply now and learn why there’s #MoreAtFreddieMac!

QUALIFICATIONS:

  • Degree or equivalent experience in a highly quantitative field such as Statistics, Economics, Finance, Business, Mathematics, Computer Science, or Engineering
  • Minimum 2 years related professional experience (mortgage / GSE experience preferred)
  • Strong experience with Tableau and Excel
  • Work experience and proficiency in programming and/or data mining languages such as SQL, SAS, R, or Python
  • Strong presentation skills, both verbal and written
  • Proficient understanding of credit and financial risks and the mortgage life cycle
Responsibilities
  • Diligent self-starter with reliable follow-through and time management
  • Resilient, flexible, adaptable, intellectually curious, and driven
  • Shows high attention to detail and takes personal responsibility for bringing up issues proactively
  • Strong communication, interpersonal, and teamwork skills
  • Solid quantitative, analytical, and problem-solving skills
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