Quantitative Analytics Senior
Freddie Mac · McLean, United States · 3mo ago
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:
Freddie Mac’s Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and applications in support of business and risk decisions as a member of the back-end modeling team within Single Family Modeling. Areas will include: loan modification, short sale, foreclosure sale auction, distressed property valuation and pricing.
Our Impact:
We are responsible for developing Single Family portfolio credit risk management models in the area of servicing and liquidation. These are directly applicable to the $3 trillion Single Family credit portfolio, delinquent loans and distressed assets.
Your Impact:
Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products
Providing resolutions to an extensive range of complicated problems; solutions are innovative, thorough, and practicable
Providing modeling and analytical support to a line of business or product area
Working under limited direction, independently determining and developing approach to solutions.
Qualifications:
PhD in economics, finance, statistics, or a related quantitative discipline, or Master’s degree with 3+ years of relevant experience.
Strong expertise in predictive modeling, econometrics, optimization, machine learning, and/or Monte Carlo simulation methods.
Proficiency in one or more programming languages such as Python, R, C++, SQL, or SAS
Ability to perform independent model development, data processing and cleaning
Demonstrated knowledge of AI tools and technologies, with a strong commitment to continuous learning and staying up-to-date with advancements in artificial intelligence
Keys to Success in this Role:
Training and experience with credit risk models
Collaborative and professional approach working in a team setting
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.
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Time-type:Full timeFLSA Status:ExemptFreddie 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.