An opportunity for a Data Analytics professional to join the Fraud Analytics function within a global banking and financial services environment. The role focuses on leveraging
data science, machine learning, and advanced analytics
to detect fraud patterns, enhance risk controls, and support data-driven decision-making. The position involves working with large-scale datasets, predictive modeling, and cross-functional collaboration in a fast-paced, regulated workplace.
Work Details
- Location:
Hybrid (2 days office, 3 days work from home)
- Shift Timing:
11:00 AM – 8:00 PM
Key Responsibilities
1. Data Collection & Processing
- Extract, collect, and analyze data from multiple internal and external sources
- Perform data cleaning, transformation, and validation for analytical use
- Ensure data quality, lineage, governance, and control compliance
2. Data Engineering & Automation
- Design and maintain automated data pipelines for efficient data processing
- Improve data workflows and support automation initiatives
3. Fraud Analytics & Modeling
- Develop and deploy statistical and machine learning models for fraud detection
- Identify fraud patterns, anomalies, and emerging risk trends
- Build predictive models to forecast fraud risk and business outcomes
4. Reporting & Insights
- Develop dashboards, reports, and analytical insights for stakeholders
- Translate complex data findings into actionable business recommendations
5. Stakeholder Collaboration
- Work closely with risk, business, and operations teams
- Present analytical insights to both technical and non-technical stakeholders
- Support implementation of fraud prevention policies and controls
6. Continuous Improvement
- Enhance analytical frameworks, reporting systems, and automation processes
- Identify opportunities where data science can improve risk management and effi
📌 Manager-Fraud Analytics-data Analytics-Banking (Delhi)
🏢 Crescendo Global
📍 Delhi
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