Freddie Mac

Quantitative Risk Analytics Senior

McLean, VA Full time

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.

Position Overview:

Freddie Mac is currently seeking a Quantitative Risk Analytics Senior to join the Credit Innovation and Analytics (CIA) team in the Single-Family division!

Our Impact:

The CIA team owns credit policy and analytics as it pertains to the borrower’s capacity to repay the mortgage. The team is responsible for developing and implementing technical solutions for automating the manual processes of assessing borrower assets, income and employment using big data, analytics and third-party service providers.

Your Impact:

This position will play an important role in developing and optimizing rules and algorithms for automated evaluation of borrowers’ capacity (assets, income, employment). The candidate will be responsible for understanding the business need and vision as well as policy guidance, analyzing data and modeling different scenarios. The person will employ strong technical and analytical skills to aid the implementation of new products and optimization/ expansion of existing products.

Your work falls into these primary categories:

Data research and analysis, business rules design, algorithm development and testing,

  • Acquire in-depth understanding of Freddie Mac’s automated capacity assessment capabilities / products including encoded business rules, policy alignment, data infrastructure and analytics setup

  • Use advanced analytical methods and modeling technics to validate, research and analyze data to frame and answer analytical questions. Gain detail understanding of source data and related controls

  • Develop understanding of models and advanced algorithmic solutions used in automated capacity assessment processes. Propose, develop and test enhancements for these models and algorithms.

  • Work with Data and Rules Engines owners to ensure accuracy of data analysis and rules emulation

  • Produce analyses to evidence a balance between offerings expansions and additional credit risk

  • Present analytical findings to diverse audiences including executives and external parties

  • Develop resolutions to complex problems that require frequent use of ingenuity and creativity

Task management

  • Work under limited direction, independently determine and develop approaches to solutions

  • Partner and build relationships with sub-teams and enterprise teams including policy, implementation, testing, second line, among others

  • Work with multiple and changing priorities, meet deadlines, identify and raise issues and constraints, assimilate constructive feedback

Qualifications:

  • Degree in economics, statistics, applied mathematics, quantitative finance, computer science or related quantitative field.

  • Work experience and proficiency in programming and/or data mining languages such as SQL, SAS, R, or Python

  • Experience working with large data sets and relational database

  • Proven quantitative, analytical, and problem-solving skills, with attention to detail and high-quality self-review of work products

  • Experience in the mortgage industry and basic understanding of risk, credit, and the mortgage life cycle preferred

Keys to Success in this Role:

  • Ability to solve issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current business trends.

  • Intellectual agility and interpersonal flexibility

  • Deep curiosity to learn about new trends and topics

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals 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.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants:  Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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 www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $133,000 - $199,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.