Credit Risk Associate / Data Scientist
- 3-5 years' experience in credit risk modelling
- Proficiency using machine / deep learning algorithms and or Python to solve classification, segmentation and anomaly detection problems
- Strong ability to work through ML lifecycle, from data engineering, model training / testing, to deployment
- Advantageous to have experience applying ML for credit scoring, credit risk, fraud detection, customer segmentation in consumer finance
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