Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
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:
Do you want to play a key role in Single-Family’s Innovation, Data Science, Engineering and Analytics (IDEA) Transformation journey? Freddie Mac’s Single-Family Division is currently seeking a curious and analytical Quantitative Engineer Manager - Data Scientist. In this position, you would be responsible for designing data processes to support industry-leading models for assessing the creditworthiness of prospective borrowers, analytics and reporting needs as a member of the MEDA (Modeling, Econometrics and Data Analytics) team. IDEA has a critical function to manage and maintain business data and identify new data sets/solutions to enabling analytics for policy refinements, model development and portfolio reporting using state of the art techniques such as Machine Learning, Artificial Intelligence and Big Data/Cloud Technologies. We are looking for a self-starter, hardworking explorer and Data enthusiast to help us establish Artificial Intelligence and Machine Learning best practices, who will partner across Freddie Mac teams to create solutions to solve challenging business problems. Apply now and learn why there’s #MoreAtFreddieMac!
**This position can be performed currently from a remote location in the U.S. but will require presence in a Freddie Mac office in the future.***
Our Impact:
Freddie Mac’s Single-Family Modeling and Analytics team is an organization that builds models and analytics to advance the strategies of the Single-Family business so that Freddie Mac can help get people into homes they can afford and keep. Our models are behind many key business initiatives at Freddie Mac such as Credit Risk Transfer, Portfolio Management, Collateral Valuation, Risk Management, Affordable Housing, Mortgage Fair Lending. We are guided and empowered by several core principles, including the need to leverage the full team and that cross-disciplined approaches are far more likely to produce breakthrough models. We recognize that to be at our best we need to build an organization that allows individuals to learn about and participate in a variety of models and modeling techniques.
In our team, candidates work with enthusiastic and collaborative professionals with a diverse set of backgrounds in econometrics, statistics, machine learning and analytics to support and advance Innovative analytics and develop cutting-edge solutions to convert insights into actions. Applying their quant skills, candidates routinely extract, understand and analyze data in our wide repository of sources, and further produce insights and build models that will inform Freddie Mac’s decisions on our mortgage portfolio while working across all parts of Single-Family business groups including, Business Leadership, Product Owners, Data Owners and IT Partners. Candidates have the opportunity to perform a wide range of analyses with high impact on management decisions.
Your Impact:
Qualifications:
Keys to Success in this Role:
The Federal Home Loan Mortgage Corporation (FHLMC), known as Freddie Mac, is a public government-sponsored enterprise (GSE), headquartered in Tysons Corner, Virginia. Freddie Mac is ranked No. 41 on the 2020 Fortune 500 list of the largest United States corporations by total revenue, and has $2.063 trillion in assets under management.
McLean, VA, USA
2-4 year
McLean, VA, USA
2-4 year
McLean, VA, USA
2-4 year
McLean, VA, USA
2-4 year
McLean, VA, USA
2-4 year
McLean, VA, USA
2-4 year
McLean, VA, USA
2-4 year