Senior Quantitative Analytics: Model Risk Validator

Freddie Mac

McLean (VA)

On-site

USD 126,000 - 190,000

Full time

4 days ago
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Job summary

Freddie Mac’s Enterprise Risk Division seeks a Quantitative Analytics Senior to join the Enterprise Model Risk Department, focusing on validating models used by the Single-Family Business Division, including origination scorecard, Automated Valuation, and credit loss models.

You will validate models per policy, review controls for overlays, and interact with developers, users, and governance to ensure compliance and address findings.

Qualifications

  • Doctorate degree or Master’s degree +3 years equivalent work experience in economics, statistics, mathematics, financial engineering, or related fields preferred.
  • Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large datasets.
  • Related experience in regulated financial services institutions with focus in capital markets.

Responsibilities

  • Validate Single-Family models in accordance with Freddie Mac policy and standards.
  • Review controls for model overlays, processes, and applications with qualitative factors.
  • Recommend approval or disapproval of models and raise findings for independent review.
  • Ensure conformance to internal controls for model validation processes.
  • Engage with developers, users, governance, and other groups to manage validations.
  • Support audit and regulatory engagements and remediation activities related to model risk.
  • Monitor ongoing risk metrics and collaborate with governance on model risk reporting.

Skills

Predictive modeling
Machine learning
Statistical analysis
Data processing
Programming

Education

Master’s degree or PhD in economics/statistics/math/financial engineering

Tools

Python
R
SQL

Job description

Freddie Mac’s Enterprise Risk Division seeks a Quantitative Analytics Senior to join the Enterprise Model Risk Department, focusing on validating models used by the Single-Family Business Division, including origination scorecard, Automated Valuation, and credit loss models.

You will validate models per policy, review controls for overlays, and interact with developers, users, and governance to ensure compliance and address findings.

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