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.
Data scientist for financial risk
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описание
задачи
- 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
требования
- 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
- Будет плюсом: Knowledge of SQL will be a plus
условия
- Условий в вакансии нет
навыки
Армянский банк: розничные и корпоративные услуги.
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