Data Analyst for Financial Model System

Qualifications: 

• 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 for business users’ inquiries

• 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 initiative 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 are available for qualified candidates within the U.S.A.