Quantitative Analytics Senior

JOB DESCRIPTION

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's Single-Family Division is currently seeking a Quantitative Analytics Senior to join the Collateral & Servicing Modeling team. We are searching for a strong candidate with the ability to perform advanced analytics, develop an understanding of residential property valuation, and effectively communicate with stakeholders across the business.

Our Impact:

Our team is responsible for using collateral data sources to better understand and manage Freddie Mac’s collateral risk. This position will perform analysis of collateral data, including in-house Automated Valuation Models (AVMs). This work will drive modeling prioritization, as well as policies related to valuation risk, condition risk, and marketability risk. Our team sits at the intersection of model development and model business use, providing us with the opportunity and responsibility to effectively communicate our analyses with both technical and non-technical audiences.

Your Impact:

In this role, you will be expected to:

• Manipulate and analyze large collateral datasets

• Develop dashboards and other visualizations to monitor trends in data and models

• Develop an understanding of complex machine learning models and their performance monitoring processes

• Communicate complicated statistical and machine-learning models and analyses to a variety of audiences

• Collaborate with team members and interact across organizational lines to meet business objectives

Qualifications:

• Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field

• Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods

• Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—Python, R, SAS, SQL, or MATLAB

Preferred Qualifications:

• Experience related to the mortgage industry, property valuation, and/or collateral risk

• Experience building Tableau dashboards

• Experience building or working with logistic regression, classification, random forest, and XGBoost models

Keys to Success in this Role:

• Fluency in using statistical methods to derive insights from data

• Excellent communication and interpersonal skills to build and maintain partnerships within and outside the team to achieve desired results

• Eagerness and curiosity to learn and improve business knowledge to tackle business problems

• Adapt to competing priorities and shift focus as needed

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.