Data Analyst NPV ID 662

Responsibilities:
– Evaluate the profitability of products using the NPV approach;
– Develop and improve NPV calculation models;
– Create reporting requirements;
– Interact with product and technical teams to implement solutions in production.

Requirements:
– Work experience of at least 2 years in the field of classical machine learning, NPV modeling or related fields;
– Knowledge of mathematical statistics and econometrics;
– Deep understanding of probability theory;
– Experience working with Python and ML libraries;
– Good communication skills;
– Analytical thinking and a systematic approach to solving problems;

It will be a plus:
– Experience in building financial efficiency assessment models;
– Understanding the specifics of banking decisions and product hypotheses;
– Experience participating in Olympiads in mathematics, economics, physics or computer science
– Education at a technical or mathematical university (Moscow State University, MIPT, HSE, MEPhI, MSTU, NES, etc.);

We offer:
– Flexible work format from the office;
– Medical insurance from the first day;
– Budget for education: language courses, trainings, certifications;
– Compensation for sports and mental health expenses;
– 20 working days of vacation and paid sick leave
- The salary level is discussed at the interview

Contact information