Quant Analytics Tech Lead - Collateral Risk Modeling

Freddie Mac; McLean (VA); On-site; USD 144,000 - 216,000; Full time

Job summary

Freddie Mac seeks a highly skilled Quantitative Analytics Tech Lead in McLean, VA to develop collateral models for Single Family. You will combine advanced statistics, machine learning and risk analytics to assess collateral value and credit risk, partnering with users to translate models into actionable business insights.

We value leadership, independent modeling work, and a commitment to staying current with AI developments as part of a collaborative team.

Qualifications

• PhD in economics, finance, statistics, or related quantitative discipline with 3+ years' experience, or Master’s with 5+ years relevant experience.
• Demonstrated expertise in credit risk modeling (preferable collateral modeling) and ability to work with model users to translate models into business insights.
• Proficiency in programming languages such as Python, R, C++, SQL.
• Ability to perform independent model development, data processing and cleaning.
• Knowledge of AI tools and staying current with AI advancements.

Responsibilities

• Develop collateral value and risk models for Single Family properties.
• Provide modeling and analytical support to business lines or product areas.
• Solve a broad range of problems with innovative, thorough, and practicable solutions.
• Lead modeling efforts under limited direction and collaborate across teams.

Skills

Credit risk modeling

Python

R

C++

SQL

Education

PhD in economics/finance/statistics

Master’s in quantitative field

Tools

Python

R

C++

SQL

Job description

Freddie Mac seeks a highly skilled Quantitative Analytics Tech Lead in McLean, VA to develop collateral models for Single Family. You will combine advanced statistics, machine learning and risk analytics to assess collateral value and credit risk, partnering with users to translate models into actionable business insights.

We value leadership, independent modeling work, and a commitment to staying current with AI developments as part of a collaborative team.