- Graduate/Post Graduate Degree (preferably in stats)
- 2+ years of model development experience in Risk Modelling in following areas - Acquisitions, ECM, Collections , Fraud models
- Knowledge of machine learning algorithms, regression, classification, predictive modeling
- Should be well versed with the KPIs that predict model performance
- Knowledge of external data(bureau scores etc.) that goes into developing a risk model
- Strong development skills in SAS, Python and SQL (Python is mandatory)
- Problem-solving skills, accuracy and attention to detail
- Candidates from Banking or NBFS domain will be preferred
- Verbal and Written communication skills and Team-working skills
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