Quantitative Analytics Senior

Single Family Portfolio Performance Analytics Team

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.

Are you someone who thrives on applying quantitative analytics to influence business strategy and decision making?

If you are passionate about developing new insights and motivated by the potential to advise key business decisions and strategy in the Single-Family Mortgage domain, then apply today and join our Single Family Portfolio Performance Analytics Team at Freddie Mac!

Our team identifies and recommends new business mix optimization opportunities and influences key Single Family stakeholders around actions to enhance balanced scorecard objectives with robust quantitative analytical skills.

The work in the immediate group is focused on a wide variety of interesting topics ranging from :

• Monitoring credit risk patterns of SF new fundings and proactively identify emerging risk by applying AI / Machine Learning techniques to advance analytics.
• Manage the GEO Intelligence Forum which stays on top of emerging macro and mortgage performance patterns across GEOs.
• Apply sophisticated technical skills to provide deeper insights into credit risk trends using traditional and non-traditional mortgage data.
• Enhance analytical ability in the team by building subject matter expertise in risk models, statistical methods, credit policy, credit risk, business trends as well as technical data skills.
• Automate formulation of business rules in targeting different business objectives.
• Responsible for the development and execution of new and innovative analytics and as well as being on top of key relevant model updates.

Doctorate degree (or Master's degree with 3 years equivalent work experience) in quantitative finance, statistics or a related quantitative field is preferred.

Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may includebut is not limited tostatistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms.

Fluency in SAS / Python / SQL and prior experience building or implementing models / analytical frameworks in SAS / Python / R scripts.

5+ years of experience writing statistical or optimization programs to conduct data analytics on large data sets.

Proficiency in programming languages such as SQL (required), Python (required), SAS (good to have). Strong experience with Tableau, PowerPoint and Excel

Solid understanding of risk, credit, and the mortgage life cycle. Strong quantitative, analytical, and problem-solving skills.

Experience communicating quantitative analysis to users as well as representing it with reviewers.

Curiosity, ability to ask questions and build good relationships across the organization.

Creative and practical problem solving.

Flexibility as we develop new processes reacting to evolving regulatory landscape.

Willingness and ability to quickly pick up complicated concepts and engage subject matter experts to obtain desired inputs / results.

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.