Quantitative Analytics Senior (Hybrid - 3 Days in Office)

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:

Are you curious, entrepreneurial, and analytical? Do you enjoy solving complex real-world problems with advanced quantitative techniques? Freddie Mac’s Multifamily Modeling team is looking for creative and forward-thinking individuals like you! As a Quantitative Analytics Senior, you will be responsible for developing and managing quantitative models, delivering analytics, and creating methodologies to support decision-making and risk management within the $450Bn+ Multifamily business. This role requires expertise in tackling complex business challenges and providing viable solutions.

The successful candidate will play a critical role in developing, implementing, and managing advanced (statistical/econometrics/machine learning) models that drive our business decision-making and risk management strategies.

Our Impact:

Our team is responsible for developing models and conducting quantitative analysis to support MF business across all business lines. We are committed to delivering top-tier solutions through innovative modeling techniques and robust advanced data analysis.

We are also responsible for Multifamily data analytics, regulatory capital, stress testing and business initiatives. This is an increasingly critical role given our focus on safety and soundness in multifamily business, as well as the emerging risk management under the dynamical market environment.

Your Impact:

• Design and develop methodologies for property valuation and credit risk analysis of the Multifamily portfolio and related securities.

• Develop and implement advanced quantitative (statistical/econometrics/machine learning) models using common programming languages (Python/R), create model prototypes for testing and specification, and modify existing program source code as needed.

• Apply quantitative skills, including data science, to offer analytical support across various multifamily business functions.

• Create technical documentation to support both internal and external reviews

• Work independently with minimal direction to identify and develop solutions.

• Support model governance activities to ensure full compliance with regulatory and corporate standards.

Qualifications:

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

• Coursework or work experience applying quantitative modeling techniques from finance, economics, statistics, mathematics, data science, machine learning, and computer programming to large data sets. Qualifying coursework may include—but is not limited to—econometrics, 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 quantitative and modular programming to develop models and algorithms. Programming languages may include—but are not limited to—Python, R, SQL, and Java.

• Knowledge of mortgage finance is preferred.

• Expertise in econometrics and machine learning is a plus.

Keys to Success in this Role:

• Diligent, with strong problem-solving and communication skills

• Ability to multi-task and work efficiently under tight deadlines.

• Ability to translate business requirements into well-defined analytical problems and translate the analytical results back into business language.

• Building positive relationship across business divisions and lines of defense.

• Clear and concise writing and presentation ability.

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.

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 $125,000 - $187,000 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.