Quantitative Risk Analysis Associate II

Freddie Mac•McLean, VA

About The Position

We are seeking a Quantitative Risk Analysis, Associate II to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with developing deep understanding of data and current code, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations. Our Impact: Our team is responsible for producing reporting packages to monitor trends and performance. We analyze different test and learn or pilot programs to assess risk of the offerings and create reports to monitor these offerings closely to assess broad roll out. We perform significant user activities for different enterprise models for user acceptance testing and provide feedback. Your Impact: Implement baseline processes and reports monthly and interpret results as it relates to credit risk management. Follow appropriate controls and standards established to maintain and build documentation for processes & reports. Participate in performing ad-hoc analytics in support of credit policy. Cleanse, manipulate and analyze large datasets using statistical software. Collaborate with team members and interact across organizational lines to meet business objectives.

Requirements

Bachelor's Degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field, advanced Degree is a plus
Minimum 1-3 years of relevant experience, preferably in mortgage industry or financial services
Demonstrated proficiency in programming languages, preferably SAS and SQL
Experience in analyzing and manipulating large datasets
Prefer recent professional experience with analytical and/or data manipulation tools such as R and Python and Tableau for data visualization
Knowledge of and experience with single-family mortgage credit risk data, preferably related to GSEs
Self-motivated, pro-active, and results-driven problem solver.
Proven quantitative, analytical and problem-solving skills.
Strong communication skills both oral and written.
Excellent SAS and SQL programming skills.
Manage multiple priorities, meet deadlines, identify and raise issues appropriately to management.

Responsibilities

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