- Analyze large datasets to identify patterns, trends, and actionable insights.
- Develop and validate classification models including feature engineering and pipeline creation.
- Assess credit risk by generating credit scores or probability of default metrics.
- Utilize alternative data sources to build innovative credit risk solutions.
- Collaborate with internal teams on technical decision-making and model development.
- Monitor deployed model performance and make adjustments based on market or behavioral changes.
- Research and integrate advancements in data science and machine learning.