Data Scientist, Credit Risk
KOHO(2 months ago)
About this role
The Data Scientist, Credit Risk at KOHO is responsible for designing and developing statistical and machine learning models for credit risk parameters (PD, EAD, LGD) across various lending products. This role oversees the full model development lifecycle, including data exploration, feature engineering, validation, and deployment, while implementing advanced modelling techniques. Collaboration with Risk Management, Credit, and Product teams is essential to translate business requirements into technical specifications and create dashboards and reports that support strategic decision-making. A strong background in Python, SQL, and financial regulatory frameworks is required, along with experience in optimizing business outcomes through predictive modelling.
Required Skills
- Predictive Modelling
- Statistical Modelling
- Machine Learning
- Model Development
- Data Exploration
- Feature Engineering
- Model Validation
- Performance Monitoring
- Regulatory Compliance
- Collaboration
+11 more
Qualifications
- Bachelor's or Master's degree in Statistics
- Bachelor's or Master's degree in Mathematics
- Bachelor's or Master's degree in Economics
- Bachelor's or Master's degree in Computer Science
- 5+ years of experience in predictive modelling
- Experience developing credit risk models (PD, EAD, LGD) for consumer lending products
- Experience with MLOps platforms (Sagemaker)
About KOHO
www.koho.caKOHO is a Canadian digital banking platform that provides users with an everyday spending account linked to a prepaid Mastercard. Designed for modern financial needs, KOHO offers instant cash back and premium rewards to more than 1.5 million users, empowering them to spend, save, and manage their finances more effectively. The platform aims to simplify banking with a user-friendly app that allows for quick sign-ups and financial management. Through innovative features, KOHO strives to enhance the overall banking experience and promote financial wellness.
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