Bachelor's degree required in quantitative discipline / master's degree preferred Experience with data analysis, data ecosystems, particularly in financial services Familiarity with risk, response, and fraud models and how they drive business outcomes Experience in a financial institution preferred in credit data management Desirable skills/Preferred Qualifications: Strong analytical, technical and statistical skills with proven ability to process vast amounts of data into meaningful information Strong knowledge of SQL, SAS, Python and Excel. Strong communication skills, with the ability to present information clearly, in both written and verbal form. Previous experience in Financial Services Industry and Credit Risk Management, including in High Risk Transaction Management or Fraud Management. Ability to thrive in a dynamic and fast paced environment Ability to interface with external suppliers and articulate Brokerage Firm' data needsdata vendor experience preferable