Working in a hybrid environment, the full-time Quantitative Risk Analyst will manage client data workflows, maintain Python-based automations, and build customized analytical outputs to enhance the use of Corpay's Treasury Management System tools for global corporates. Key responsibilities Ingest, transform, and format client FX data for use within Corpay's TMS tools Maintain and troubleshoot Python automation pipelines and restore functionality when issues arise Build custom output files and reports that exceed standard system-generated deliverables Required qualifications Hands-on Python experience with the ability to read, debug, and modify scripts in a production environment Understanding of ETL concepts, including data ingestion, transformation, and output formatting Exposure to FX markets, treasury management, or financial risk concepts preferred Bachelor's degree in Finance, Mathematics, Computer Science, Economics, or a related field; or equivalent work experience Familiarity with data analysis and visualization tools such as Excel, Tableau, or Power BI
Quantitative Risk Analyst in workfromhome at Unknown Company
This position is listed as full time and hybrid.