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.