Quant Analytics Manager – Fraud Prevention Strategy
Columbus, OH, United States
USD 109K-157K (estimate) Mid-level Full Time
Tasks
- Conduct fraud loss deep dives
- Create model input variables and profiles
- Develop fraud prevention roadmap initiatives using AI ML and graph analytics
- Develop solutions for customer pain points
- Ensure compliance with control framework and support strategy audits
- Expand data footprint and pattern detection techniques
- Identify process gaps and leakage prevention opportunities
- Improve decision quality with operations
- Improve recovery outcomes and reduce provisional credit theft
- Manage fraud authorization strategies
- Optimize ATO wrongdoer and scam strategies
- Reduce false-positives
- Share loss trends and business performance with cross functional partners
- Support fraud decisioning across card present and card not present channels
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
Authorization Strategy | Big Data | Data Modeling | Data analytics | False Positives | Fraud Detection | Graph analytics | Hadoop | Hive | LLM | Machine Learning | Oracle | Pattern Recognition | Python | R | Risk Management | SAS | SQL | Spark | Teradata | Unix
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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