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Risk Systems Development, Quality Analyst Tech Lead

4 months 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:

Do you want to play a key role in Single-Family's Innovation, Data Engineering and Analytics (IDEA) Transformation journey? Freddie Mac's Single Family Division is currently seeking a Risk Analytics Senior. In this position, the incumbent would be responsible for performing quality assurance on data engineering processes crafted to bring data from source systems to target environments to support modeling, analytics and reporting needs as a member of the MEDA (Modeling, Econometrics and Data Analytics) team. IDEA has a critical function to manage and maintain business data and identify new data sets/solutions to enabling analytics for policy refinements, model development and portfolio reporting using innovative techniques such as Machine Learning and Artificial Intelligence and Big Data/Cloud Technologies. We are looking for a self-starter, hardworking explorer and Data enthusiast. Apply now and learn why there's #MoreAtFreddieMac

Our Impact:
  • We enable Business data across all applications and systems in Single-Family for modeling, analytics and reporting purposes.
  • Our partners span across all parts of Single-Family organizations from Product Owner, Data Owner, Business Leadership and IT Partners.
  • We play a meaningful role in several project initiatives and constantly innovate to bring better customer experience with every project engagement.
Your Impact:
  • Under normal supervision, perform design and operation effectiveness testing of IDEA data sources
  • Document test execution, ensuring that all appropriate risks are identified and documented.
  • Logical thinker performing data analysis
  • Assist with the development and maintenance of detailed procedures that document automated test plans and scripts
  • Contribute to a team of experienced and junior staff that performs automated testing activities
  • Automate testing and validations
  • Perform hands-on testing per plan and complete follow-ups to ensure that they are completed timely and aligned with the corporate automated testing standards
  • Prepare test reports that identify and communicate issues and recommendations where vital
  • Partnering with appropriate groups within IDEA, SF Risk users and IT to ensure timely and appropriate corrective actions are implemented
  • Providing senior management with timely status updates and communication of issues
  • Analyze and test large datasets (Structured and Unstructured data – XMLs, JSONs, PDFs) using big data platform.
  • Would be required to engage using Python, PySpark, PIG, HIVE scripts to filter/map/aggregate data.
  • Lead and facilitate data loads required for testing
  • Troubleshoot sophisticated technical and data issues to resolve them
  • Test R&D and exploratory analysis developments
  • Assist with management reporting related to automated testing activities
Qualifications:
  • Bachelor's degree in Computer Science, Finance, related field or equivalent work experience
  • Backend data operations testing experience within the financial services industry
  • Experience detailing business processes and functions
  • Ability to analyze and assess the adequacy of test scenarios and find opportunities for test script improvements
  • Data analysis experience, with a combination of business and technical skills
  • Strong quantitative, analytical, and problem-solving skills
  • SQL programming experience
  • Experience with test automation tools and defect tracking tools
  • Experience with HP ALM or other defect tracking tool
  • Programming experience on Python(including Machine learning libraries), R, SAS, Spark and Hadoop
  • Knowledge of secondary mortgage market and Freddie Mac's business; Mortgage industry experience or financial / credit analysis
  • Knowledge of Freddie Mac internal models and processes
  • Understanding of Loan Origination, securitization, and/or middle and back office functions
  • Excellent verbal and written communication skills
  • Proficiency in Excel and PowerPoint required
Keys to Success in this Role:
  • Ability to think critically and logically
  • Ability to develop effective relationships across the firm, including with senior leaders
  • Proactive self-starter with good communication skills and a strong work-ethic
  • Ability to work independently and adapt in a changing environment
  • Strong data analytical skills and Ability to perform empirical analysis and synthesize information for partners, including senior management
  • Detail oriented and excellent organization skills
  • Curiosity to learn

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:RiskFLSA Status:Exempt

The anticipated annualized base salary range for this position is $126,000 to $190,000 and is eligible to participate in the annual incentive program.