• develop 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.

Skills, Knowledge and Expertise

• 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

• Stable salary, official employment;
• Health insurance;
• Hybrid work mode and flexible schedule;
• Access to professional counseling services including psychological, financial, and legal support;
• Discount club membership;
• Diverse internal training programs;
• Partially or fully paid additional training courses;
• All necessary work equipment.