Data Scientist- Business Risk
Bangalore, Karnataka, India
INR 1500K-2400K (estimate) Mid-level Full Time
Tasks
- Act as fraud analytics subject matter expert
- Apply network graph analytics to identify linked merchants
- Build detection approaches using anomaly detection and monitoring
- Communicate analytical findings to executive stakeholders
- Create rules and scorecards for near real time monitoring
- Design and implement fraud typologies across merchant lifecycle
- Develop ETL and data pipelines for transaction and dispute data
- Develop fraud analytics strategies and reusable analytical assets
- Leverage cloud analytics platforms for scalable model deployment
- Partner with business and technology teams to reduce fraud losses
- Perform portfolio monitoring and peer benchmarking
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Alteryx | Anomaly Detection | Azure | Cloud platform | Data Mining | Data Pipelines | Data Visualization | ETL | Google Cloud | Google Cloud Platform | Graph analytics | Hadoop | Machine Learning | Management Framework | Network Analysis | Peer Benchmarking | Predictive Modeling | Python | Qlik Sense | Redshift | Regression | Risk Management | Risk Management Framework | SAS | SQL | Segmentation | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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