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Business Data Analyst for Financial Model Systems

Job Duties: 

The position serves as an analyst in a high-performing software development team responsible for developing and supporting Freddie Mac's financial forecasting applications. Job duties include but are not limited to the following: 
  • • Conduct data forensic analysis to explain data anomalies by digging into data sources, data flow and transformation logics, software implementation process, and system functionality changes 
  • • Troubleshoot and resolve any data issues by connecting the dots and identifying the patterns 
  • • Interfacing with business users, modelers, and developers to collect, interpret and document business, data, and system requirements for the enhancement of the applications 
  • • Perform user acceptance testing to ensure application changes meet business requirements 
  • • Product support to business users inquires 

Qualifications: 
  • • Bachelor's degree or higher in computer science, information systems, business or data analytics, financial engineering, or related field 
  • • Smart in data and analysis. Able to connect dots and see patterns in seemingly random data and events 
  • • Take initiatives to learn and deliver rather than simply do what is being told 
  • • Experience and knowledge of Python, Excel, and SQL 
  • • Experience with Linux and command-line operations 
  • • Familiar with software development process lifecycle (SDLC, Waterfall, and Agile) 
  • • Experience with AWS, big data principles preferred 
  • • Knowledge of statistical and machine learning models preferred 
  • • Knowledge of fixed income finance and mortgage preferred (e.g. CFA 1 passed) 
  • • Years of work experience flexible 

H1B and Green Card sponsorship available for qualified candidates.