Data Scientist- Business Risk
Bangalore, Karnataka, India
INR 1500K-2800K (estimate) Mid-level Full Time
Tasks
- Act as fraud analytics subject matter expert
- Build near real time rules and scorecards
- Communicate analytical findings for executive decisions
- Conduct segmentation and peer benchmarking
- Create reusable analytical assets for typologies features rules models and monitoring
- Deliver ETL and data pipeline capabilities with high data quality
- Design fraud typologies across merchant lifecycle
- Develop analytics strategies to improve detection and reduce false positives
- Drive data led decisions to reduce fraud losses
- Implement anomaly detection for fraud indicators
- Leverage cloud analytics platforms for scalable delivery and deployment
- Operationalize fraud detection approaches for merchant acquiring
- Support fraud themes and operational adoption
- Use network graph analytics to identify linked merchants
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Alteryx | Anomaly Detection | Azure | Data Mining | Data Pipelines | Data Quality | ETL | Fraud analytics | GCP | Graph analytics | Hadoop | Machine Learning | Network Analysis | Predictive Modeling | Python | Qlik Sense | Redshift | Regression | SAS | SQL | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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