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.
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