evelop predictive scoring models for credit decision-making and look for their points of growth through new internal and external data;
develop and optimize limit and rate policies;
implement built models in online scoring;
evaluate product profitability and build NPV models;
analyze loan portfolio;
bring raw data to real-world application in processes and deliver business results through ML;
interact with business, DWH, developers and product analysts;
work through reporting requirements.

Qualifications

you have an understanding of ML and data analytics;
ready to take a deep dive into ML, business processes, data, and cause-and-effect relationships;
have experience in lending to SMEs or individuals;
ready to drive things around you and always looking for ways to make processes even better;
love math and speak the language of numbers and theorems:
inspired by the real business impact of your actions;
have experience building NPV models;
have experience with Python, SQL;
python library development skills, project management experience and the ability to present the results of your work well would be a plus.

Conditions & Benefits

relocation to company offices in Kazakhstan or Cyprus;
modern MacBook Pro and other equipment necessary for work;
unlimited opportunities for professional and career growth, regular external and internal training from our partners;
partially or fully paid additional training courses, English classes with a teacher in the office;
personal growth programs in which we set goals and move towards them together;
become part of an international team of professionals and just good people who together create one of the coolest success stories in the global IT industry.