Quantitative Analytics Tech Lead

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:

Portfolio Performance Analytics team in Freddie Mac Single Family division is seeking a Servicing Portfolio Analytics Tech Lead to design, develop, and implement the methods and tools of assessing Freddie Mac portfolio servicing performance and take major responsibilities of Model Business Owner of multiple financial models. The team is looking for a highly motivated analyst passionate about data, quantitative approach and models.

Our Impact:

• The team is responsible for providing analytics to support overall servicing portfolio management.
• Assist senior management to make decision on portfolio management strategies with our data-based insight on the performance of servicing portfolio.
• Our analytics results are broadly shared by the company.

Your Impact:

• Combine economic theory, business understanding and quantitative methods to develop and enhance mortgage performance evaluation processes, measurement metrics and analytical tools to support business decisions.
• Develop analytics to value the risk, benefits and cashflow associated with portfolio performance and policy.
• Take major responsibilities of Model Business Owner of multiple financial models to work with Model Development Owner to ensure that the models meet business needs and model governance requirements. Recommend model enhancements to improve model performance to fit business use and address business concerns.
• Capable of reviewing Freddie Mac's major risk and cashflow models' outputs and using the outputs to assist senior management to make business decisions.

Qualifications:

• Doctorate degree plus 3 years of working experience (or Master's degree with 5 years of equivalent work experience) in quantitative finance, statistics or a related quantitative field of studies.
• Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.
• Coursework or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS, and MATLAB.

Keys To Success In This Role:

• Self-motivated and desire to own a project. Ability to multi-task and work efficiently under tight deadlines.
• Ability to translate business requirements to well-defined analytics problems and translate the analytical results back to business language.
• Excellent analytical thinking and problem-solving skills and capability of researching on challenging tasks and actively looking for solutions.
• Deep understanding of quantitative/statistical risk and cash flow models. Modeling experience in probability and cash flow models is strongly preferred.
• Strong presentation and communication skills.

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 timeFLSA 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 $143,000 - $215,000 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.