Associate Data Scientist, Fraud Strategy
Core
Associate Data Scientist supporting fraud detection, prevention, and mitigation strategies using data analysis and modeling.
Role type
Associate Data Scientist (Fraud Strategy)
Builds
Fraud detection rules, models, dashboards, and reporting systems
Domain
Financial Services / Fraud Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, statistical analysis, data visualization, model performance measurement, data quality assessment, anomaly investigation
Preferred skills
Tableau, feature engineering, predictive modeling, experimentation, fraud/credit risk domain knowledge
Technologies
SQL, Python, Tableau
Responsibilities
Analyze large datasets to identify fraud patterns and emerging risks; Support development and implementation of fraud detection strategies and models; Monitor fraud trends, loss metrics, and strategy performance; Build and maintain reliable queries, dashboards, and reporting; Evaluate new data sources and analytical techniques for predictive value; Develop repeatable processes for model and strategy monitoring; Partner with cross-functional teams to translate business questions into analytical approaches
Seniority
Associate (2+ years experience)
