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Quantitative Risk Analytics Senior
3 months ago
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.
Position Overview:
Come build and 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. Apply technical expertise to build, test, and automate Extract-Transform & Load (ETL) tools to create and maintain data pipelines using 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).
This position can be based in McLean, VA or Plano, TX. Apply now to learn why there’s #MoreAtFreddieMac
Our Impact:
The Credit Risk Data Enablement team supports Credit Analytics, Reporting and Decisioning Strategy (CARDS) with centralized data strategies and solutions. By 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 find opportunities to rationalize common challenges with centralized and standardized data solutions.
Your Impact:
Develop, test and deploy automated data pipelines using various tools and technologies across the Freddie Mac data ecosystem. Support and maintain the SF 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.
Qualifications:
Bachelor's Degree in Quantitative Finance, Statistics, Mathematics, Economics or a related quantitative field (Master's Degree preferred) and 5+ years of overall relevant experience 3+ years of professional experience building data pipelines using ETL tools, data engineering packages, and frameworks such as Informatica, Python, R, SAS, Alteryx. 1+ year work experience 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/Semistrured data and related platforms such as XML, JSON, Mongo, Messaging Services Expert python development skills Solid understanding of risk, mortgage credit risk, and the mortgage life cycle is a plus Knowledge of Agile/Scrum principles is preferred Experience building or using APIs is preferred
Keys to Success in this Role:
Excellent technical, analytical, and problem-solving skills Organized and great attention to detail with the ability to balance multiple priorities Deep curiosity and openness to learn and collaborate Self starter that can build connections and learn from othersCurrent 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.