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Open nowPosted yesterday

Quantitative Analytics Senior

Freddie Mac74 open roles

Where
McLean, VA
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Your applicationOpen nowQuantitative Analytics SeniorFreddie Mac · McLean, VA

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Freddie Mac postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted yesterday

Freddie Mac median: 1 days open

The posting

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:

Are you looking for an opportunity to put your technical skills to use working on advanced modeling challenges?

Freddie Mac’s Single Family Modeling Department is currently seeking a Quantitative Analytics Senior who will be responsible for the development and execution of quantitative analytics and modeling projects in support of Freddie Mac’s fair lending activities.

Our Impact:

  • Our team is responsible for fair lending testing of Freddie Mac models and systems.
  • We apply modeling and statistical technologies to ensure Freddie Mac models comply with regulatory expectations and the law.
  • Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products. Conducting research on enhancements to existing models, and applying industry best practices and techniques to meet various business needs.
  • Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.
  • Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source code in existing applications.
  • Coordinating testing throughout the model implementation lifecycle, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate model forecast results.
  • Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
  • Preparing documentation for technical analytics and rationale throughout model developments to comply with model oversight requirements and support model review.
  • Working under limited direction, independently resolving issues.

Qualifications:

  • PhD in Economics, Statistics, Math, Computer Science or a related quantitative field; or Master's degree with at least 3 years of relevant experience
  • Coursework or work experience writing statistical or optimization programs to develop models and algorithms.
  • Proficiency in programming languages such as Python, SQL, R or SAS
  • Experience in data science, machine learning, and related technologies
  • Demonstrated knowledge of AI tools and technologies, with a strong commitment to continuous learning and staying up-to-date with advancements in artificial intelligence
  • Experience with fair lending testing, algorithmic fairness, or debiasing techniques is a plus

Keys to Success in this Role:

  • Exceptional quantitative and analytics skills
  • Strong knowledge of statistical models, tools and techniques
  • Strong programming skills
  • Effective interpersonal skills including the ability to collaborate successfully with other team members.
  • Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple, easily-understood terms.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

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