Quantitative Analytics Senior

Freddie Mac; McLean (VA); On-site; USD 126,000 - 190,000; Full time

Job summary

Freddie Mac is seeking a Data Scientist to join the Collateral Modeling and Analytics team. You will apply statistical and machine learning techniques to build tools used to evaluate mortgage collateral.

The role involves developing analytical models, implementing them in code, and conducting tests to ensure forecast accuracy while contributing to risk management decisions.

Qualifications

• Advanced degree in statistics, computer science, economics or related quantitative field.
• Experience applying predictive modeling techniques to large data sets.
• Programming experience in Python, R, SAS, SQL, Java or MATLAB.
• Experience with statistical model development and implementation.

Responsibilities

• Develop analytical methods and models to assess collateral risk.
• Provide practical solutions to complex problems.
• Implement models in software languages and prototype for specification and testing.
• Coordinate testing and back/forward tests to validate model forecasts.
• Prepare documentation for model oversight and approval.

Skills

Statistical modeling

Machine learning

Big data

Communication skills

Education

Master’s or PhD in a quantitative field

Tools

Python

R

SAS

SQL

Java

MATLAB

Scikit-learn

TensorFlow

PyTorch

Dask

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:

As a Data Scientist on the Collateral Modeling and Analytics team at Freddie Mac, you will join a group of skilled professionals who use data science to solve important business problems. You will apply statistical and machine learning techniques to build tools that will be used daily to make decisions about the collateral underlying the mortgages in Freddie Mac’s portfolio. You will make efficient use of distributed computing technologies and state of art modeling algorithms with the latest structured and unstructured big data available.

Full time

Exempt

Our Impact:

Our team build tools that will be used daily to make decisions about the collateral underlying the mortgages in Freddie Mac’s portfolio and help the company to make intelligent business decisions for risk management.

Your Impact:

• Developing analytical methods and models that assess the collateral risk of new and existing financial and mortgage products.
• Providing innovative, detailed, and practical solutions to an extensive range of demanding and complicated problems.
• Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, and modifying source codes in the existing application.
• Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.
• Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
• Preparing documentation for the technical analytics and rationale through the model development to align with model oversight and support model review for approval.
• Working under limited direction, independently resolving problems, and developing approach to solutions.

Qualifications:

• Doctorate degree, or Master degree with 3 years of equivalent work experience, in statistics, computer science, statistics, economics or a related quantitative field.
• Coursework or work experience in 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, advanced statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods.
• Coursework or work experience in writing statistical or optimization programs to develop models and algorithms. Programming languages may include, but are not limited to, Python, R, SAS, SQL, Java, or MATLAB.
• Experience in working with large data sets and relational database.
• Experience in statistical model development and implementation is preferred.
• Experience with software development and system setup for model application is preferred.
• Experience in machine learning libraries such Scikit-learn, TensorFlow, PyTorch, and Dask is preferred.
• Experience with advanced algorithms, ensemble method, text mining, and image analytics is a plus.
• Demonstrated knowledge of AI tools and technologies, with a strong commitment to continuous learning and staying up-to-date with advancements in artificial intelligence

Keys to Success in this Role:

• Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple and easily-understood terms.
• Solid oral and written communication skills. Ability to pitch and storyboard a project;
• Exceptional quantitative, empirical analysis, and research skills.
• Positive and independent thinking.
• Strong hands-on ability to handle and process large quantity of structured and unstructured data.
• Strong desire and capability to learn new big data and machine learning technologies.

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 $126,000 - $190,000 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.

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.