Freddie Mac
Quantitative Analytics Senior (Hybrid - 3 Days in Office)
Freddie Mac, Mc Lean, Virginia, us, 22107
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 role involves conducting data analysis, coding, developing methodologies, implementing models, testing them, and collaborating across teams. Ideal candidates should possess strong expertise in mathematical or statistical modeling along with robust programming abilities. Experience in time series econometrics, particularly for economic and financial forecasting, is an added advantage.Our Impact:
Lead quantitative research, data science, and modeling initiatives focused on multifamily credit risk, market risk, economic capital, and valuation analytics.
Drive analytical innovations to enhance multifamily business efficiency, optimize operations, and strengthen risk management strategies.
Play a key role in ensuring compliance with model risk governance and regulatory requirements.
Your Impact:
Design and develop methodologies for credit risk analysis of the Multifamily portfolio and related securities.
Develop and implement statistical models using common programming languages, create model prototypes for testing and specification, and modify existing program source code as needed.
Utilize quantitative skills, including data science and financial/statistical modeling, 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 or a related quantitative field.
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.
Knowledge of financial services and mortgage finance is preferred.
Expertise in time series econometrics is a plus.
Keys to Success in this Role:
Positive, can-do attitude.
Diligent, with strong problem-solving and communication skills.
Ability to work under pressure and collaborate across teams.
Curiosity to learn and adapt to changes.
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.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.Time-type: Full time FLSA 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 $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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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 role involves conducting data analysis, coding, developing methodologies, implementing models, testing them, and collaborating across teams. Ideal candidates should possess strong expertise in mathematical or statistical modeling along with robust programming abilities. Experience in time series econometrics, particularly for economic and financial forecasting, is an added advantage.Our Impact:
Lead quantitative research, data science, and modeling initiatives focused on multifamily credit risk, market risk, economic capital, and valuation analytics.
Drive analytical innovations to enhance multifamily business efficiency, optimize operations, and strengthen risk management strategies.
Play a key role in ensuring compliance with model risk governance and regulatory requirements.
Your Impact:
Design and develop methodologies for credit risk analysis of the Multifamily portfolio and related securities.
Develop and implement statistical models using common programming languages, create model prototypes for testing and specification, and modify existing program source code as needed.
Utilize quantitative skills, including data science and financial/statistical modeling, 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 or a related quantitative field.
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.
Knowledge of financial services and mortgage finance is preferred.
Expertise in time series econometrics is a plus.
Keys to Success in this Role:
Positive, can-do attitude.
Diligent, with strong problem-solving and communication skills.
Ability to work under pressure and collaborate across teams.
Curiosity to learn and adapt to changes.
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.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.Time-type: Full time FLSA 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 $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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