Fraud Abuse Specialist, Digital Fraud & Abuse

Qualifications

• Bachelor’s degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining.
• 5+ years of relevant analytic experience in within digital fraud, abuse prevention, identity risk, and related fields.
• Demonstrated strong technical proficiency, including the ability to understand APIs, data workflows, customer environments, and effectively translate requirements for engineering teams.
• Proven track record of influencing organizational change through influence in large, matrixed environments.
• Experience working with data and technology teams to build machine learning and heuristic fraud signals and rules.
• Experience partnering closely with product and engineering teams on platform evolution.

Responsibilities

• Develop and maintain advanced fraud models to identify identity fraud, account takeover, and synthetic identity risks.
• Perform risk analyses and manage complex data sets using tools such as SQL, Python, and R.
• Monitor fraud analytics encompassing Identity and Entity Resolution/Detection, Social Network Analysis, and Unsupervised Monitoring techniques.
• Establish anomaly behaviors and indicators, both within and outside defined ranges, that prompt active response.
• Integrate data from third-party technology providers and tools to continuously enhance fraud detection capabilities.
• Oversee the ongoing performance of fraud analytic models to ensure effectiveness as fraud schemes evolve.
• Avoid conducting comprehensive fraud risk assessments to identify program vulnerabilities, evaluate risks, set tolerances, and recommend mitigation strategies.
• Establish and report on Key Performance Indicators, including alert volume, adjudication outcomes, time to resolution, fraud type, and entry point.
• Demonstrate proficiency in data visualization and dynamic dashboard creation using Tableau.
• Possess experience with both relational and non-relational database systems and architecture.
• Exhibit a strong passion for problem identification and solution optimization.
• Maintain meticulous attention to detail along with excellent verbal, written, analytical, and organizational skills.
• Leverage data and technical expertise to discover innovative approaches to scaling signal analysis and identifying fraudulent actors.
• Manage the complete lifecycle of complex issues, from identification through scalable solution implementation.
• Utilize agentic AI systems to automate workflows, enhance pattern detection, and expedite investigation and detection initiatives.

Benefits

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

Pay

Annual Salary $100,000.00 - $215,000.00

Schedule

N/A