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Quantitative Analytics Tech Lead - Model Validation

External
Freddie Mac logoFreddie Mac · Mclean, VA
Full-timeOn-site2w ago
ComplianceMachine LearningSAFeTechnical Writing
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Responsibilities

  • Perform comprehensive validation of Single-Family Models in accordance with applicable Freddie Mac Policy and Standards and Regulatory requirements.
  • Review appropriate controls for associated model overlays, processes and applications that may include expert judgment or qualitative factors.
  • Recommend, as appropriate, the approval or disapproval of models, overlays, processes, and applications, and raise findings tied to weaknesses as determined by independent effective challenge.
  • Ensure conformance to internal control standards for associated model validation processes.
  • Interact effectively with model developers, implementers and users, business stakeholders, and governance committees to manage model validations, including operational management of associated model risk processes, and ensure compliance with Model Risk Policy and Standards
  • Participate in and support audit and regulatory engagements, including remediation activities related to model risk.
  • Conduct ongoing monitoring and validation activities to support conformance to appropriate risk appetite and KRI metrics.
  • Engage with model governance and reporting functions, and other model validation groups, and support model risk activities.
  • Build strong relationships and consensus across the lines of defense on model validation matters, aligning conflicting priorities and resolving issues to achieve progress.

Requirements

  • PhD in economics, finance, statistics, or related quantitative discipline with 3+ years' experience, or Master's with 5+ years relevant experience.
  • Experience in regulated financial services institutions preferred.
  • Keys to Success in this Role:
  • Deep intellectual curiosity to explore new methods and acquire techniques beyond one's own expertise.
  • Ability to translate analytical results into actionable insights that inform strategy and business direction.
  • Proficiency in machine learning and AI techniques.
  • Strong technical and programming skills for processing large datasets and building/validating complex models.
  • Superior technical writing and verbal communication skills.
  • Excellent organizational skills and ability to manage multiple priorities
  • Current Freddie Mac employees please apply through the internal career site.
  • CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • Notice to External Search Firms: Freddie Mac partne

Benefits

Vision insurance

Additional Information

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac's Enterprise Risk Division is currently seeking a Quantitative Analytics Teach Lead to join the Enterprise Model Risk Group. The Enterprise Model Risk Group is responsible for model risk oversight including development, validation, implementation and monitoring models across multiple risk areas. The team is primarily responsible for validating key models used by the Single-Family Business Division. The models subject to review include origination scorecard model, Automated Valuation model, and credit loss models. Our Impact: Freddie Mac is leading the U.S housing market forward by making homeownership and rental housing more accessible and affordable.


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