Freddie Mac's Enterprise Risk Management Division is seeking a Quantitative Analytics Tech Lead to join the Enterprise Model Risk Department to provide effective challenge, oversight, and risk management for the company's models, particularly for the Multifamily business and related corporate functions.
Requirements
- Coursework or work experience applying predictive modeling techniques, valuation approaches, and risk measurements from finance, statistics, economics, mathematics, data science, and computer programming to large data sets.
- Coursework or work experience writing statistical and/or optimization programs to develop models and algorithms.
- Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS, and MATLAB.
- Proficiency in programming languages such as C/C++, Java, Python, R, SAS
- Multifamily model development or Multifamily model risk management experience highly preferred
Responsibilities
- Perform independent validation to evaluate model risks related to the design and conceptual soundness of the model, including all key steps in the model development process, such as selection of methodology, data, sampling, segmentation, model diagnostics, model performance and outcome analysis, model overlay, and ongoing monitoring.
- Report findings to model owners and management and ensure those findings are addressed appropriately and timely.
- Prepare validation documentation in compliance with applicable policy, standards and procedures.
- Manage validation projects in model inventory system collaboratively with model owners, key assessors and users.
Other
- Doctorate degree plus 3 years of working experience (or Master's degree with 5 years of equivalent work experience) in quantitative finance, statistics or a related quantitative field of studies.
- Deep curiosity to learn with critical thinking.
- Strong verbal and written communication skills.
- Ability to work under limited direction independently to identify issues and solve problems.
