Description
Developing machine learning (including deep learning) models and managing the end-to-end mathematical modeling process for real-time lending, behavioral, and investment decision-making, alongside other applied banking solutions.
Responsibilities
•Develop/construct, analyze and improve machine learning (ML) and deep learning models
•Work with data: processing, cleaning, analysis, variable construction, testing and integration into ML technical systems
•Support with ML model testing and implementation
•Apply the latest data science algorithms/methods, cutting-edge data analysis tools; continuous improvement of the modeling process
•Collaborate effectively with product teams and IT subdivisions
Requirements
•University degree in Data Science, Mathematics, Applied Mathematics, mathematical and statistical modeling, IT/technical and/or other relevant field
•Minimum 2 years of relevant work experience
•Knowledge and experience of classical ML models/algorithms
•Excellent knowledge of Python language
•Analytical thinking, advanced skills of working independently and within a team
•Commitment to work and strong sense of responsibility
Nice to have
•Knowledge of SQL will be a plus
Conditions
No conditions specified in the posting.
