Counterparty Risk Modeling Specialist

Freddie Mac; McLean (VA); On-site; USD 105,000 - 157,000; Full time

Job summary

Freddie Mac in McLean, VA is seeking a Quantitative Analytics Professional within the Models & Analytics team to design, code, and implement counterparty risk models (EAD/PD/LGD) supporting counterparty credit risk management across portfolios.

The role emphasizes exposure measurement driven by market factors and requires strong programming in Python and SQL, with familiarity in Java, C++, MATLAB, or SAS as a plus.

Qualifications

• Must have coursework or work experience developing and implementing financial models, with demonstrable knowledge in quantitative modeling and statistical analysis.
• Experience with market risk and mortgage-related modeling and analytics strongly preferred.
• Strong programming skills in Python and SQL. Familiarity with Java, C++, MATLAB, SAS is useful.

Responsibilities

• Design, code and maintain counterparty risk models (EAD/PD/LGD).
• Collaborate with Counterparty Credit Risk Management to model risks for various products.
• Design model enhancements to address AUAs and regulatory findings.
• Produce Performance Monitoring Reports and respond to stakeholder inquiries.
• Understand and comply with model governance and controls and liaise with governance teams.
• Partner with teammates to improve models and share knowledge.

Skills

Python

SQL

Java

C++

MATLAB

SAS

Education

Master's Degree in quantitative finance or related field

Job description

Freddie Mac in McLean, VA is seeking a Quantitative Analytics Professional within the Models & Analytics team to design, code, and implement counterparty risk models (EAD/PD/LGD) supporting counterparty credit risk management across portfolios.

The role emphasizes exposure measurement driven by market factors and requires strong programming in Python and SQL, with familiarity in Java, C++, MATLAB, or SAS as a plus.