Data Scientist - Director - Data & Analytics Engineering
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About the role
Morgan Stanley provides financial services, and its CDRR Technology team develops models to identify, assess, and mitigate fraud risk. The Data Scientist will build, validate, monitor, and document statistical and machine learning models using complex data.
What you'll do
- Develop end-to-end statistical and machine learning models
- Evaluate models in imbalanced, changing, and adversarial environments
- Monitor deployed models and diagnose performance degradation
- Recommend model recalibration, redevelopment, threshold changes, or retirement
- Document model development and governance work
Skills
Must have
- Statistical modeling
- Machine learning
- Statistical inference
- Probability
- Hypothesis testing
- Feature engineering
- Python
- SQL
- Model validation
- Exploratory data analysis
Nice to have
- Fraud detection
- Financial crime analytics
- Transaction monitoring
- Anomaly detection
- Model risk management
Who it's for
- Experience
- 6+ years
- Domain
- financial services fraud risk
About Morgan Stanley
Morgan Stanley has 20 open roles in Bangalore, at Morgan Stanley Ecoworld, Bengaluru. See every Morgan Stanley role.
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