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Quantitative Risk Analytics Senior
3 months ago
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.
Employees, contingent workers and visitors are no longer required to show proof of vaccination to be on-site. Effective January 2023, Freddie Mac's hybrid work arrangement is 3 days in the office (specifically Tuesday, Wednesday & Thursday).
Position Overview:
We are currently seeking a Quantitative Analytics Senior 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 base, 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 prepare data based on various criteria and share with other teams to fulfill project requirements
- This position is to provide data, analytics and reporting to support innovations for collateral representations and warranty relief efforts and for managing the collateral risk.
- Provides timely, relevant, robust analyses to support collateral risk related business decisions
- Develops, relatively quickly, deep understanding of relevant data, business background and the current SAS / SQL code
- Participates in the development of an analytical framework containing data preparation, code and reporting to support baseline and ad hoc analyses
- Designs appropriate analytical approaches for variety of business questions or scenarios presented
- Support Business Stakeholder of Various Enterprise Models and provide feedback and analysis on models and model usages from business perspective
Qualifications:
- Degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field with 5-7 years related experience
- 4+ 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
Keys to success in this role
- 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
- Must be able to manage multiple priorities, meet deadlines, identify and escalate issues appropriately to the management
Current Freddie Mac employees please apply through the internal career site.
Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.
We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit and register with our referral code: MAC.
Time-type:Full timeJob Category:RiskFLSA Status:ExemptThe anticipated annualized base salary range for this position is $113,000 to $169,000 and is eligible to participate in the annual incentive program.
