Description
Head of Data Science Division is responsible for managing the process of AI/Machine Learning, Deep Learning model development, i.e. real-time mathematical modeling of lending, behavioral/transactional, investment decision-making and other applied banking issues.
Responsibilities
•Manage developing/building, improving, implementing and monitoring of machine learning and deep learning models
•Organize and manage the process of working with data
•Support with ML model testing and implementation
•Ensure continuous use of the latest AI/ML algorithms/methods, cutting-edge data analysis tools, process optimization, and enhancement of function efficiency
•Manage the process of design, regulation and approval of model creation, testing and implementation environment
•Perform ML applications' code review, optimization, continuous process improvement and modernization
•Collaborate effectively with product teams and IT subdivisions
•Document the entire modeling lifecycle, ensure availability of internal regulations, model overviews
Requirements
•University degree in Data Science, Mathematics/Applied Mathematics, Modeling, IT/technical and/or other relevant field
•Minimum 5 years of relevant work experience
•Knowledge of AI/ML models/algorithms, experience in managing large projects
•Excellent knowledge of Python language, experience in developing ML applications
•Knowledge of SQL and BI
•Analytical thinking, advanced skills of working independently and within a team
•Commitment to work and strong sense of responsibility
Conditions
No conditions are specified in the posting.
