Fraud Data Scientist

Title: Fraud Data Scientist

Compensation: $140k - $165k base + bonus

Company Summary: A leading consulting firm is seeking a Fraud Analytics Senior Associate/Data Scientist to help clients across financial services, fintech, and payments strengthen fraud detection capabilities. The role combines fraud strategy, machine learning, and advanced analytics, with a focus on building fraud models, optimizing detection frameworks, and delivering actionable insights to both technical and business stakeholders.

Responsibilities:

• Develop and enhance fraud detection strategies using rules-based and machine learning approaches.
• Build, deploy, and maintain fraud models and analytics solutions using Python and SQL.
• Design and implement fraud detection frameworks to identify suspicious activity and emerging fraud patterns.
• Monitor model performance, including accuracy, drift, false positives, and ongoing optimization.
• Partner with business and risk stakeholders to identify fraud vulnerabilities and improve detection capabilities.
• Communicate analytical insights and model results to both technical and non-technical audiences.

Qualifications:

• 3-6 years in Fraud Analytics, Fraud Strategy, Fraud Data Science, or Financial Crimes Analytics.
• Background in financial services, fintech, payments, and other fraud-intensive industries
• Experience developing machine learning-driven fraud detection models focused on identifying suspicious activity and reducing false positives.
• Python, SQL, and AI experience required
• Must be able to build fraud models, optimize detection strategies, and communicate clear insights to both business and technical stakeholders
• Strong communication skills, with the ability to communicate complex analytics concepts.