Roles & Responsibilities:
- 3+ years of experience in Python, machine learning, and banking model development.
- Interact with clients to understand requirements and provide analytical/modeling solutions.
- Design, build, and implement credit risk models.
- Structure analytical approaches and draw insights that align with business objectives.
- Independently solve complex problems using predictive modeling techniques.
- Design, implement, test, deploy, and maintain innovative data and ML solutions.
- Create prototypes and experiments using new learning algorithms and prediction techniques.
- Collaborate with product managers and stakeholders to solve science and business problems.
- Apply machine learning best practices for high-quality deliverables.
- Work with unstructured data, including text cleaning, TF-IDF, and text vectorization.
- Hands-on experience with IFRS 9 models and regulatory requirements.
- Analyze large datasets to identify trends, ensure data integrity and quality.
- Apply statistical methods and R programming for robust model development.
- Collaborate with cross-functional teams to align models with business needs.
- Stay current with credit risk methodologies and R programming trends.
