Fraud Analytics || Mumbai || WFO
MumbaiFull-time3–6 yrsPosted 1 week ago
Mid-level risk role at Michael Page India in Mumbai. Needs 3+ years.
About the role
Engineer high-impact features from structured and alternate data sources. Address challenges such as class imbalance, data drift, and evolving fraud typologies. 3-6 years of experience in Fraud Analytics, Risk Modeling, Fintech, or Banking. Generous holiday leave policy. Opportunity to work in a reputed financial services organization in Mumbai.
What you'll do
- Analyze large-scale transactional and behavioral datasets to identify fraud patterns and risk signals
- Design, develop, and optimize ML models for: Fraud detection (classification), Anomaly detection (unsupervised/semi-supervised), Risk scoring systems
- Define model evaluation frameworks
- Develop scalable training pipelines and collaborate on production deployment (batch & real-time)
- Implement model monitoring, retraining, and explainability (e.g., SHAP-based analysis)
What you need
- Analytics
- Statistics
- Machine learning
- Python
- Pandas
- NumPy
Good to have
- Scikit-learn
- TensorFlow
- PyTorch