Freddie Mac

Quantitative Analytics

Freddie Mac

McLean, VA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

At Freddie Mac, our Quantitative Analytics team is on the cutting edge of data science, using cutting-edge technology to provide innovative solutions for our customers. We are seeking a talented, motivated individual to join our team as a Quantitative Analytics professional. The ideal candidate will have a strong background in quantitative analysis, mathematics, statistics, and computer science. We are looking for someone who is passionate about using data to inform decisions, solve problems, and drive business value.This is an exciting opportunity to be part of a team that is leading the way in the financial industry. To succeed in this role, the successful candidate must have an excellent technical background, plus the ability to communicate clearly and effectively with stakeholders across the organization. We are looking for a team player who is comfortable working in a fast-paced, ever-changing environment and who is passionate about contributing to our mission.The required qualifications for this position include: a Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field; experience with data analysis and programming languages; experience with statistical software packages such as SAS, R, or Python; and strong problem-solving skills. A Master’s degree in a related field is preferred. This position is based in the Washington DC area.

Responsibilities:

  1. Utilize quantitative analysis, mathematics, statistics, and computer science to provide innovative solutions for customers.
  2. Effectively communicate with stakeholders across the organization.
  3. Use data to inform decisions, solve problems, and drive business value.
  4. Work in a fast-paced and ever-changing environment.
  5. Contribute to the mission of the organization.
  6. Analyze and program data using statistical software packages such as SAS, R, and Python.
  7. Develop strong problem-solving skills.
Where is this job?
This job is located at McLean, VA, USA
Job Qualifications
  • Economics

  • Knowledge Of Financial Modeling

  • Sql

  • Strong Quantitative And Analytical Skills

  • Proven Ability To Solve Complex Problems

  • Expertise In Statistical And Predictive Analytics

  • Experience With Data Mining

  • Advanced Degree In Mathematics

  • Statistics

  • Finance Or Related Field

  • Proficiency In Excel

  • Sas

  • Or Other Data Analysis Tools

Required Skills
  • Financial Analysis

  • Programming

  • Data Analysis

  • Forecasting

  • Database Management

  • Algorithms

  • Machine Learning

  • Quantitative Analysis

  • Data Mining

  • Optimization

  • Risk Analysis

  • Visualization

  • Modeling

  • Statistical programming

  • Statistics

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Quantitative Analytics in McLean, VA, USA is $96,000 - $138,000 per year. This salary range is based on salaries reported by employers and anonymous employees. The salary range also depends on the industry and the experience of the individual.

Additional Information
Freddie Mac is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedOctober 6th, 2023
Apply BeforeAugust 19th, 2025
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About Freddie Mac

Federal Home Loan Mortgage Corp. provides liquidity, stability and affordability to the U.S. housing market primarily by providing credit guarantee for residential mortgages originated by mortgage lenders and investing in mortgage loans and mortgage-related securities.

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