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Quantitative Risk Analytics, Senior; Hybrid - in Office - VA

Job in McLean, Fairfax County, Virginia, USA
Listing for: Fairygodboss
Full Time position
Listed on 2026-06-03
Job specializations:
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 126000 - 188000 USD Yearly USD 126000.00 188000.00 YEAR
Job Description & How to Apply Below
Position: Quantitative Risk Analytics, Senior (Hybrid - 3 Days in Office - VA)

Freddie Mac is seeking a Quantitative Risk Analytics Senior to join the Credit Innovation and Analytics (CIA) team in the Single‑Family division.

Position Overview

The CIA team owns credit policy and analytics related to the borrower's capacity to repay the mortgage. The team develops and implements technical solutions to automate the assessment of borrower assets, income, employment, and condo project quality using big data, analytics, and third‑party service providers.

Responsibilities
  • Data research and analysis, business rules design, algorithm development and testing.
  • Acquire in‑depth understanding of Freddie Mac's automated capacity assessment capabilities/products including encoded business rules, policy alignment, data infrastructure, and analytics setup.
  • Use advanced analytical methods and modeling techniques to validate, research, and analyze data to answer analytical questions; gain detail understanding of source data and related controls.
  • Develop understanding of models and advanced algorithmic solutions used in automated capacity assessment processes; propose, develop, and test enhancements for these models and algorithms.
  • Work with Data and Rules Engines owners to ensure accuracy of data analysis and rules emulation.
  • Produce analyses evidence a balance between offering expansions and additional credit risk.
  • Present analytical findings to diverse audiences including executives and external parties.
  • Develop resolutions to complex problems that require frequent use of ingenuity and creativity.
Qualifications
  • College degree or equivalent experience; advanced studies/degree preferred.
  • Typically 5–7 years of related work experience.
  • Programming and/or data mining skills in SQL, SAS, or Python.
  • Experience working with large data sets and relational databases.
  • Proven quantitative, analytical, and problem‑solving skills, with attention to detail and high‑quality self‑review.
  • Experience in the mortgage industry and basic understanding of risk, credit, and the mortgage life cycle preferred.
Keys to Success in this Role
  • Ability to solve issues of diverse scope where analysis requires evaluation of a variety of factors, including current business trends.
  • Intellectual agility and interpersonal flexibility.
  • Deep curiosity to learn about new trends and topics.
Job Details

Time-type:
Full time
FLSA Status:
Exempt

Compensation:
Annualized market‑based salary range of $126,000 – $188,000. Eligible to participate in the annual incentive program. Final salary offered depends on responsibilities, experience, skill set, internal pay equity, and other relevant qualifications.

EEO Statement

Freddie Mac is an equal opportunity employer and values diversity and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law. We will provide reasonable accommodation to individuals with differing abilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Contact us to request accommodation.

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Position Requirements
10+ Years work experience
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