Description
We are the Compliance Department team, looking for a new Middle Data Analyst. The main task of the Compliance Department is to build strategies based on statistical analysis and data analytics, and to identify money laundering schemes.
The new Data Analyst will need to work with tables in SQL/Spark, work with relationship graphs, develop dashboard prototypes, communicate with engineers and methodologies, study the subject area, and formulate proposals for improving the process of identifying illegal operations.
Responsibilities
- development of decision-making strategies in the field of Compliance risk
- studying the identification of money laundering schemes and forming proposals for their modification and automation
- data processing and statistical analysis of data and hypotheses
- preparation of a prototype for piloting/implementing models
- monitoring of developed models
- defining data quality requirements
- preparation of analytical studies in the field of identifying money laundering schemes
Requirements
- relevant higher education, at least one year of work experience in data analysis
- experience working with databases (SQL)
- knowledge of Python / Spark
- good knowledge of probability theory and mathematical statistics;
- experience in developing decision-making strategies (risk policies) is desirable
Conditions
- office-based work in Moscow
- annual salary review and annual bonus
- extended voluntary health insurance and preferential insurance for family
- Sber's unique training system for professional and career development
- favorable mortgage for employees
- free SberPrime+ subscription, discounts on products from partner companies
- reward for referring friends to the Sber team
- corporate pension program.
