Data scientist / ML Engineer

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.