Quantitative Analytics Tech Lead –Credit Risk Analytics

Freddie Mac•McLean, VA

2d•$144,000 - $216,000

About The Position

In this role you will advance Enterprise Risk’s assessment of Multifamily credit risk through novel use of data and analytics. As part of an analytics team, you will collaborate with colleagues to develop a data-driven approach to independent assessment of the credit risk of Freddie Mac’s Multifamily loan acquisitions. This work will leverage advanced analytics to measure past performance of the portfolio, to assess the impact of macroeconomic and other risk drivers, and quantify the risk of new business. You will study Multifamily credit models and evaluate their use in various business applications, and you will provide feedback and effective challenge to improve Multifamily credit risk measurement and risk management across the Enterprise. Your work supports on-going quantitative assessment of Multifamily credit risk as well as measurement of the risk impact of key policy changes. This position requires skilled work with large data sets and statistical models in the context of multifamily lending. Working knowledge of multifamily lending is needed for this job and continued growth in multifamily domain expertise will be key to success. In this role, you are expected to scope and manage large projects; to clearly plan and document your work; to implement quality controls; and to present insights through clear written communication.

Requirements

PhD in economics, finance, statistics, or related quantitative discipline with 3+ years' experience, or Master’s with 5+ years relevant experience.
Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large datasets. Qualifying coursework may include statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling
Experience in multifamily lending, with working knowledge of key underwriting concepts
Expertise in credit risk and credit loss estimation, including working knowledge of common modeling approaches
Strong decision-making skills with the ability to work under pressure effectively to resolve critical issues
Experience with analyzing large and complex data sources and conducting analysis using software and tools (e.g., Python, R, SQL, Snowflake).
Experience presenting analysis, including preparation of charts and graphs (e.g., Tableau, Excel)
Excellent verbal and written communication skills with the ability to communicate complex information to a variety of audiences, including senior management and regulators, in a clear and actionable manner
Demonstrated track record of managing large-scale and complex projects and evidence of success in both independent work and team collaboration

Nice To Haves

Excellent quantitative, analytical, problem-solving, and critical thinking skills with an ability to explore and leverage new technical skills when needed
Excellent communication and presentation skills both verbal and written
Strong relationship-building skills to facilitate collaboration and improved risk management across the enterprise
Deep curiosity about multifamily mortgage products and credit risk
Proven ability to analyze risk using quantitative and qualitative information.
Ability to work both independently and collaboratively, seeking timely feedback on work and providing support to the team

Responsibilities

Identify trends and emerging risks in Multifamily lending through analysis of both internal and external data and information
Develop and maintain analytical frameworks to assess Multifamily loan performance and underwriting policies
Conduct scenario analysis to support assessment of credit policy changes and for the ongoing support of the company’s risk appetite
Evaluate and monitor the company’s risk appetite metrics and KRIs
Enhance the team’s risk assessment capability by building subject matter expertise in risk models, statistical methods, machine learning and AI capabilities, credit policy, credit risk, and technical data skills
Communicate and collaborate across teams both within the Enterprise Risk Division and with first line partners in the Multifamily business.
Present analysis to senior leaders and to internal and external stakeholders