Execute analysis for identifying and consistently categorizing the root cause of fraud events observed or attempted in the network.
Develop fraud analysis to quickly source, analyze and deduce root cause consistently and accurately across the network.
Be able to effectively articulate and influence within the organization and those at the participating financial institutions on actions recommended, based on insights derived from advanced analytics.
Execution of a discipline to identify exposed network credentials, social tokens and payment information; categorize the risk of the same and apply appropriate risk treatments to those data elements.
Support the company’s commitment to protect the integrity and confidentiality of systems and data.
Requirements
Education and/or experience typically obtained through completion of a Bachelor’s Degree.
Minimum 5 or more years of progressive experience in advanced data analytical skills.
Minimum 3 years of SAS/SQL/R/Python or comparable analytic coding experience.
Proven track record of converting concepts to analysis to cases for change
Exceptional written and verbal communication skills.
Experience with digital banking, payments and/or payment networks.
Background and drug screen.
Tech Stack
Python
SQL
Benefits
Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
12 weeks of Paid Parental Leave
Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.