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:
Freddie Mac's Enterprise Model Governance Data Science Team is currently seeking a Quantitative Analytics Senior. EMG data team is responsible to deliver an array of quantitative initiatives including development, validation, and monitoring across multiple models (credit risk, market risk, counterparty risk, etc.) across enterprise.
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Our Impact:
The team is responsible to support model risk management and work cross functionally with modeling teams to ensure compliance with risk standard. This includes, working directly on model design, model code, model data as well as building software and automation tools.
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Your Impact:
- Perform independent validation on model methodologies.
- Design workflows and data pipelines (ETL) and verity of data sources including economic, finance, and enterprise.
- Build prototypes to automate validation procedures.
Qualifications:
- Doctorate degree (or Master's degree with 3 years equivalent work experience) in quantitative finance, Software engineering or a related quantitative field.
- Coursework or work experience applying predictive modeling techniques from finance, statistics, econometrics, 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, generative ai, design and analysis of algorithms and data structure, Bayesian methods, derivatives, and Monte Carlo methods/modeling.
- Coursework or work experience writing statistical and software programs to develop models and algorithms.
- Programming languages must include-python and SQL.
Keys to Success in this Role:
- Deep curiosity to learn with critical thinking.
- Strong verbal and written communication skills.
- Ability to work under limited direction independently to identify issues and solve problems.
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. 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.