Freddie Mac

Freddie Mac’s Enterprise Risk Management Division is currently seeking a Quantitative Analytics Senior to perform all tasks related to model validation to evaluate and manage model risks associated with company’s models.. Create and implement a complete model validation within the Enterprise Model Risk group. Doctorate degree (or Master's degree with equivalent work experience) in statistics, quantitative finance, economics, or a related quantitative field. Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets.. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis

model validation

At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation. Position Overview:

Do you want to fast track your career? Are you a highly organized senior level professional with strong quantitative and analytical skills? Are you looking for an opportunity to put your technical skills to use working on advanced modeling challenges? Freddie Mac’s Enterprise Risk Management Division is currently seeking a Quantitative Analytics Senior to perform all tasks related to model validation to evaluate and manage model risks associated with company’s models. Apply now and learn why there’s #MoreAtFreddieMac! Our Impact:

Create and implement a complete model validation within the Enterprise Model Risk group

Provide effective challenges on existing models and methodologies

Enhance the enterprise model risk governance process Your Impact:

Conduct technical validation of Freddie Mac models, including writing a detailed independent model validation report

Follow model risk standards and procedures

Perform explanatory analysis and research, present results to both technical and non-technical audiences

Work collaboratively with partners to ensure effective management of model risk enterprise wide. Qualifications:

Doctorate degree (or Master's degree with equivalent work experience) in statistics, quantitative finance, economics, or a related quantitative field

Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis

Coursework or work experience writing computer programs to implement data science pipelines and predictive algorithms.

Programming languages: in-depth knowledge of and experience with Python is a must.

Coursework or work experience using technologies for manipulating structured and unstructured big data.

3+ years of experience in quantitative analytics, modeling or risk management with a combination of business and technical skills is preferred

Excellent interpersonal and partnership skills

Demonstrated written presentation experience (PowerPoint and Word) Keys to Success in this Role:
Strong modeling and analytics skills
Strong verbal and written communication skills
Strong programming skills (Python)
Ability to develop mutually beneficial relationships inside and outside of the department
Deep curiosity to learn about new things with critical thinking

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

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. 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 ensure that individuals with differing abilities 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.

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 $118,000 - $178,000 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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