Category Analyst providing data support for category management and sales initiatives at Acosta. Collaborating with clients and utilizing various data sources for impactful decision - making.
About the role
- Senior Analyst managing fraud prevention strategies and fraud analytics at GoTyme Bank. Analyzing fraud trends and enhancing fraud detection for banking products.
Responsibilities
- Analyze complex datasets, identify emerging fraud trends, and work closely with cross-functional teams to balance fraud loss mitigation with customer experience.
- Monitor transactional and behavioral data to identify patterns indicative of fraudulent activity.
- Develop and enhance rule-based and model-driven fraud detection strategies for digital banking products (e.g., cards, transfers, deposits, lending).
- Conduct deep-dive investigations into fraud cases and recommend preventive actions.
- Partner with product, technology, and data teams to enhance fraud monitoring systems and controls.
- Support the design, testing, and rollout of new fraud mitigation tools and analytics capabilities.
- Prepare regular performance reports and present fraud insights to senior management.
- Participate in incident reviews, risk assessments, and process improvement initiatives.
Requirements
- Bachelor’s degree or higher in applied mathematics, statistics, computer science, physics, data science, economics, engineering or equivalent quantitative discipline.
- 2–5 years of experience in fraud analytics or credit strategy or analytics within banking, fintech, or payments.
- Experience in first-party, third-party, or synthetic fraud risk management is preferred.
- Knowledge of machine learning techniques for fraud detection is preferred.
- Strong SQL for data manipulation and reporting.
- Proficiency in Python for analytics, modeling, and automation.
- Exposure to AI/ML frameworks (advantageous but not required).
- Proficiency in Excel, and/or data visualization tools (e.g., Tableau, PowerBI).
Benefits
- Health insurance
- Professional development
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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