Freddie Mac

Financial Services

QuantitativeAnalyticsTechLeadEconomicModeling

$144–216k McLean, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Quantitative Analytics Tech Lead – Economic Modeling at Freddie Mac. Skills: Quantitative Analytics, Economic Modeling, Model Development, Portfolio Analysis, Model Governance. Develop and enhance mortgage prepayment, default and severity models for portfolio management. Conduct quantitative analysis to support valuation and hedging of mortgage products”

Industry & Context.

Financial Services
Problems you'll solve

Independently determining and developing approach to solutions

What They're Looking For.

Must Have

Doctorate degree plus 3 years of working experience (or Master's degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field, Programming skills in one or more of Python, R, SAS or related languages, Experience working with large data sets and relational database

Nice to Have

5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets, Post-graduate work experience in mortgage valuation and statistical modeling, Experience in statistical model development and implementation

What You'll Do.

Develop and enhance mortgage prepayment

default and severity models for portfolio management

Conduct quantitative analysis to support valuation and hedging of mortgage products

Develop mortgage valuation model

Conduct portfolio analysis to support trading and hedging activities

Develop and enhance valuation processes and risk metrics for our retained portfolio of mortgage products

Conduct sensitivity analysis and impact assessment for model updates and changes in model inputs

Prepare model documentation

Conduct thorough model validation tests

Develop on-going performance monitoring and threshold methodology

Provide analytics support for trading and hedging activities

How You'll Work.

Team & Collaboration

Build trust and partnerships within the good team player

Communication Scope

Good communication skills

Full Job Description

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:** Freddie Mac’s Investments & Capital Markets (I&CM) Division is seeking a Quantitative Analytics Tech Lead to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management. The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products. # **Our Impact:** The Modeling and Analytics group in Freddie Mac's Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes. # **Your Impact:** Freddie Mac’s Investments & Capital Markets (I&CM) Division is seeking a Quantitative Analytics Tech Lead to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management. The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products. # **Our Impact:** The Modeling and Analytics group in Freddie Mac's Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes. # **Your Impact:** The successful candidate will contribute to the development of mortgage valuation model and conduct portfolio analysis to support trading and hedging activities. **Your Work Falls Into Four Primary Categories:** _Model Development and Research_ • Developing mortgage prepayment, default and severity models that assess market risk of mortgages, mortgage backed securities, and senior-sub structured products • Applying statistical modeling and big data analytics tools

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