Quantitative Analytics Director - EMR

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Position Overview:

Reporting to VP-Enterprise Model Risk, the Quantitative Analytics Director will have responsibility for the implementation of a comprehensive model risk framework with a specific focus on Investment and Capital Markets. They will lead review teams on prepayment, interest rate, market risk, counterparty exposure, and hedge accounting related models to support valuation, hedging, and market risk capital decisions. They will carry out protocols for monitoring and testing (including sensitivity testing), validation, and effective challenge. They will also be responsible for building and leading a team of associates with strong quantitative skills from a diverse set of backgrounds, both academically and functionally. Apply now and learn more about our benefits and why there’s #MoreAtFreddieMac!

**This position can be performed currently from a remote location in the U.S. but will require presence in a Freddie Mac office in the future.***

Our Impact:

The team is primarily responsible for validation of market risk models.

Your Impact:

• Adopt standard methodologies (both from academia and industry) with regards to:
• Prepayment modeling methods for loan- and pool-/security-levels for a variety of mortgage products, including performing and distressed assets
• Interest rate, derivative valuation, VaR, risk measurement, and other related types of market risk modeling
• Counterparty market risk modelling methods
• Latest and emerging methods in computational statistics, machine learning and predictive analytics
• Latest and emerging model validation techniques, methods and governance protocols
• Provide thought leadership and direct base review teams to execute model reviews. Establish and assure adherence to schedules and work plans. Coordinate within EMR & Divisional partners. Regularly update management on matters concerning capital markets area.
• Remediate findings issued by internal and external oversight groups.
• Develop a solid understanding of Model Risk Regulatory Guidance, Polices and Standards, and Model Governance Processes
• Establish effective relationships across the model risk community (Senior Management, model owners, model developers, divisional project managers, divisional governance leads, significant users, key assessors)
• Build a high-performance team with a diverse set of backgrounds and skills

Qualifications:

• Demonstrated experience and expertise in financial modeling in investment and capital markets areas
• Strong analytical and problem-solving skills with a high level of attention to detail
• Hands-on experience with programming languages such as SAS, Matlab, Python, R, C++
• Excellent interpersonal and communication skills, particularly written communication skills
• Self?motivated, with the capability of managing multiple priorities and efficient in proposing solutions
• Typically has 12+ years related experience and 4+ years management experience
• College Degree or equivalent work experience. Advance Degree in Economics, Finance, Statistics preferred

Keys to Success in this Role:

• Ability and willingness to tackle complex projects and find practical solutions
• Flexible and adaptable, capable of working effectively in a fluid and evolving business and regulatory environment
• Ability to develop strong relationships across the organization to promote a more collaborative environment