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:

Manage the data ecosystem that supports the Credit Analytics, Reporting and Decisioning Strategy (CARDS) team.  Coordinate with analytical teams to develop curated data structures for analytical consumers.  Utilize technical expertise to build, test, and automate Extract-Transform & Load (ETL) tools to create and maintain data pipelines leveraging multiple technology stacks.  Maintain metadata that to help data consumers understand the CARDS data ecosystem (current data inventory, lineage, data movement controls, relevant data pipelines).  Apply now and learn why there’s #MoreAtFreddieMac!

Our Impact:

The Credit risk DATA team supports Credit Analytics, Reporting and Decisioning Strategy (CARDS) with centralized data strategies and solutions. Leveraging enterprise tools, technologies and code, we are able to build data pipelines, Business Intelligence tools, automation frameworks,  web tools, to create a comprehensive data ecosystem that supports Credit Risk Management via analytics, modeling and reporting.  We maintain an inventory of data needs across the entirety of the Single Family Risk department, and help identify opportunities to rationalize common challenges with centralized and standardized data solutions.

Your Impact:

• Develop, test and deploy automated data pipelines leveraging various tools and technologies in use across the Freddie Mac data ecosystem.
• Support and maintain the Single Family Risk Data Intake Process.  Coordinate with consumers to understand needs, manage delivery timelines, while balancing competing priorities.
• Maintain metadata that empowers your colleagues and our data consumers such as job aids, knowledge articles, user guides, data lineage and data transformation rules
• Support key data initiatives impacting Single Family Risk via impact assessments, consumer outreach, testing services, and generation of project specific artifacts
• Collaborate independently with Subject Matter Experts to understand business concepts across multiple domains such as credit risk, loan pricing, affordable housing goals, or capital management.  Leverage knowledge gained to help define transformation rules, functional logic, within data pipelines that you will manage.

Qualifications:

• Bachelor's Degree in Quantitative Finance, Statistics, Mathematics, Economics or a related quantitative field (Master's Degree preferred)
• 3+ of professional experience building data pipelines using ETL tools, data engineering packages, and frameworks such as Informatica, Python, R, SAS, Alteryx.
• 1+ years professional experience working with Business Intelligence Tools, Dashboards and Reports such as Tableau, PowerBI, Qlik, etc.
• Proficiency in Shell Scripting for automation, and maintaining code in a server based environment
• Proficiency working with Unstructured/Semistructured data and related platforms such as XML, JSON, Mongo, Messaging Services
• Solid understanding of risk, mortgage credit risk, and the mortgage life cycle is a plus
• Experience working with agile/scrum principles is preferred
• Experience building or using APIs is preferred
• Experience presenting data products and solutions to product owners and data consumers

Keys to Success in this Role:

• Excellent technical, analytical, and problem-solving skills
• Organized and great attention to detail.  Able to balance multiple priorities
• Deep curiosity and openness to learn and collaborate with others.  Not afraid to ask questions
• Self starter that can build connections and learn from others

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.

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 www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status:Non-Exempt

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 $88,000 - $132,000 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.