Quantitative Risk Analysis Manager

Freddie Mac•McLean, VA

3d•Onsite

About The Position

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. We are currently seeking a Quantitative Risk Analysis Manager to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with managing a team responsible for reporting and analytics regarding Collateral offerings as well as Collateral model business user supports. The role requires deep understanding of data and current code base, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations.

Requirements

Degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field with 8-10 years related experience
5+ years of data analysis experience, with a combination of business and technical skills (SQL, SAS, R or Python programming experience).
Experience in analyzing and manipulating large data sets
Mortgage industry experience or financial / credit analysis
Self-motivated, pro-active, and problem solver
Proven quantitative, analytical and problem-solving skills
Strong communication skills both oral and written
Excellent SAS and SQL programming skills
Must be able to manage several priorities, meet deadlines, identify and call out issues appropriately to the management

Responsibilities

Manage a team of three to four people
Complete baseline processes and reports monthly and interpret results as it relates to collateral risk management
Follow appropriate controls and standards established to maintain and document for processes & reports.
Participate in performing ad-hoc analytics in support of collateral policy
Cleanse, manipulate and analyze large datasets using statistical software
Collaborate with team members and interact across organizational lines to meet business objectives