Quantitative Analytics Professional

1 month ago

Bloomington, Illinois, United States Freddie Mac Full time

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:

The Innovation, Data Engineering and Analytics under Freddie Mac's Single Family Division is currently seeking a Quantitative Analytics Professional to build data repository to facilitate modeling and analysis of risk evaluation.

Our Impact:
  • We perform data analytics, develop ML models and build data applications that support Risk Analytics and Modeling for MEDA and Single-Family business groups of the company.
  • Our partners span across all parts of Single-Family business groups including, Business Leadership, Product Owners, Data Owners and IT Partners.
  • We play a critical role in several major business/technology initiatives and constantly strive to bring better customer experience with every engagement.
  • Our team is responsible for providing a 360 view of various Single-Family data and thereby help our business partners perform better Analytics and reporting. We play a critical role in several major business/technology initiatives and constantly strive to bring better customer experience with every engagement.
Your Impact:

You will be able to apply advanced Data Engineering skills to solve real world challenges in building data pipelines that help the company build better models and do advanced reporting.

  • Develop programs using Python, PySpark scripts to
  • Profile and analyze large data sets (Structured, Semi-Structured and Unstructured data)
  • Validate data between source and target
  • Design data models, develop data dictionaries, metadata spreadsheets interpreting business needs and data (both structured, semi-structured and unstructured) flowing from and to the variety of the data sources.
  • Coordinate with the business and Data Governance team to drive MDM direction and technical solutions in line with that direction ensuring data quality.
  • Derive meaningful results and create visualization reports for executive level outputs.
  • Engage with internal teams, project teams and business areas to solicit business and data requirements
  • Assists the various stakeholders with their requests for analysis/reporting to make business decisions.
  • Working under limited direction, independently resolving and developing approach to solutions.
Qualifications:
  • Bachelor's degree or higher in Computer Science, Information Systems Technology or a related field and 4 years of relevant experience, including the following: Processing large volumes and variety of data (Structured and unstructured data, writing code for parallel processing, XMLS, JSONs, PDFs) and Programming in Big Data Platforms for data processing and performing analysis.
  • Master's degree or higher in Computer Science, Information Systems Technology or a related field and 2 years of relevant experience, including the following: Processing large volumes and variety of data (Structured and unstructured data, writing code for parallel processing, XMLS, JSONs, PDFs) and Programming in Big Data Platforms for data processing and performing analysis.
  • Must have demonstrated knowledge of the following: Cloud platforms, SQL and Application of predictive modeling techniques from data science, statistics, machine learning or econometrics for large data sets.
  • Knowledge may be demonstrated through course work, training, or work experience.

Keys to Success in this Role:

The candidate should be very analytical minded, have a good grasp of data architectures and keen in problem solving. We are looking for someone with good data science skills along with good exploratory data analysis experience used to build ML models. ML skills are highly desirable.

  • Ability to think critically and logically.
  • Strong predictive data modeling experience and solid skills.
  • Solid communications skills – verbal and written.
  • Detail oriented and excellent organization skills.
  • Strong quantitative, data analytics, analytical, and problem-solving skills.
  • Ability to transition easily to using newer Cloud technologies in Big Data and Machine Learning

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.

Freddie Mac provides anticipated base salary ranges where required by law.

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:Research & ModelingFLSA Status:Exempt

The anticipated annualized base salary range for this position is $92,000 to $138,000 and is eligible to participate in the annual incentive program.

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