Expertise in advanced machine learning techniques, especially in the US banking domain, with a focus on credit risk analysis.
- Hands-on experience in developing and deploying models using ensemble methods and other cutting-edge ML algorithms.
- Ability to work with large datasets, utilizing tools like Taleau and SQL for data extraction, cleaning, and transformation.
- Strong problem-solving skills with the ability to handle complex datasets and turn them into actionable insights.
- Immediate availability or within a 1-month notice period.
Preferred Skills
- Proficiency in Tableau and SQL. - Experience with model robustness, interpretability, and scalability within banking environments. - Robust collaboration skills to work with cross-functional teams to define, develop, and improve predictive models that drive business decisions. - Familiarity with customer lifecycle use cases such as pre-screen, acquisition, account management, collections, and fraud.