Quantitative Analytics Tech Lead

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 a data scientist with solid academic foundation and extensive knowledge in statistical modeling and big data? Do you like to use your quantitative skills and the latest analytical tools and techniques to develop solutions and find answers? Can you thrive in a fast-paced, constantly evolving, dynamic environment? If so, you could be a great fit for the Quantitative Analytics Tech Lead position in the Multifamily ("MF") Portfolio and Risk Management team. Apply now to learn more about our excellent benefits & why there's #moreatfreddiemac!

Our Impact:

The MF Portfolio and Risk Management (PRM) team is accountable for portfolio management, including the Dodd-Frank Act Stress Tests, Capital Plan, Portfolio Loss Appetite, Enterprise Regulatory Capital Framework forecasting and internal capital. MF PRM will also provide strategic insights garnered from analytics to improve decision-making and risk management across the business – working closely with business partners to enhance our credit, portfolio and risk management capabilities and build a more integrated risk management approach across our MF portfolio. The team helps measure, manage and reduce risk and capital in the Multifamily business through innovative ideas, sound risk management practices, business strategy recommendations, and quantitative analytics and modeling. Our team is primarily responsible for:

• Business strategy analysis, sensitivity analysis, and recommendations in support of risk/capital reduction and profit optimization

• Model owner of MF default model and MF valuation model

• Develop business insights and analytical solutions for MF credit risk management

• Risk analytics and support for ERM oversight objectives including reporting for the various risk committees

• Manage and implement analytics related technology projects

Your Impact:

• Advance the development of a risk and analytic team to support the Multifamily mortgage market.

• Analytical-minded. You will develop strategy and apply statistically rigorous testing methods to demonstrate that our models are suitable and accurate for measuring the risks of Multifamily portfolio.

• Technical and a data guru. You will navigate through our “big data” on over $400 billion MF portfolio to gain new insights about our business and risks. You have the skill to build data visualization tools using open-source tools and cloud computing platforms, demystifying complex data and modeling results into business languages.

• As a power user of various Multifamily models, effectively interact with model developers and other business collaborators and provide guidance, testing, and specifications to make models work effectively to inform business decisions.

• Design, monitor, report, forecast & conduct analysis for risks and profitability for products and transactions.

• Establish automated and efficient processes to manage Multifamily credit risk and model risk by building tools and dashboards to visualize and evaluate the performance of Multifamily portfolios, Multifamily model outputs, and Multifamily loan origination credit qualities.

• Develop model process and manage model business owner responsibilities to ensure compliance with model risk standard.

• Lead a team of quantitative analysts on model analytic projects including aggregate assessment of User-Acceptance Testing for model changes and review of model performance results.

Qualifications:

• PhD in Statistics, Economics, or a related quantitative field with at least three years of related post-graduate work experience; or Master degree with at least five to six years of related quantitative analytics experience or modeling. Prefer experience in mortgage industry.

• Programming experience with proficiency in at least one: Python, SAS, R, Matlab

• Ability to work across teams and with diverse organizations of modeling and risk professionals in an effective and efficient manner

• Self‐motivated, with the capability of managing multiple priorities and efficient in proposing solutions

• Strong leadership, planning and communication skills

• Experience with software development and system setup for model application is preferred.

• Experience