Today, fraud in our country is reaching the scale of a national disaster – with billions of rubles in losses for citizens annually. At Sber, ensuring the security of client funds is one of our top priorities, and for several years now, the Bank has been successfully tackling all challenges in the sphere of social engineering. In 2025, fraud totaling over 368 billion rubles was prevented. To protect its clients, Sber uses a unique fraud monitoring system that detects 99.9% of all fraud attempts.
Responsibilities
- Daily analysis and breakdown of current fraud cases, their categorization, identification of causes and patterns.
- Formulation and testing of hypotheses about new fraud schemes.
- Development of new and adjustment of existing fraud monitoring algorithms.
- Writing SQL queries to extract, aggregate, and analyze data from various sources (transactions, client profiles, session data).
- Analysis of the effectiveness of existing fraud monitoring algorithms and proposal of specific steps for their improvement.
- Reduction of the False Positive Rate without compromising detection levels.
Requirements
- Experience in writing SQL queries (window functions, subqueries, JOIN) for extracting and aggregating large volumes of data from various sources.
- Experience working with Python for data analysis (jupyter, pandas, pySpark, sparkSql).
- Visualization of tested hypotheses and identified dependencies.
- Practical experience using language models (such as ChatGPT, GigaChat, DeepSeek, etc.) for work tasks (writing code, text analysis, idea generation, information retrieval).
- Ability not only to find anomalies but also to formulate and then test hypotheses about possible fraud cases.
- System thinking, attention to detail.
- Proactivity – the employee does not wait for instructions but suggests improvements and sees opportunities for process optimization.
- Interest in new technologies, trends in cybersecurity and fraud.
It will be a plus if you have skills and experience in:
- Experience in similar fields (compliance, audit).
- Understanding of the basic principles of payment methods.
- Basic knowledge in information security and cyber threats.
Conditions
- Work format – 5/2 office.
- Innovative, ambitious projects and tasks.
- Projects that develop you – there is always an opportunity to enhance your work skills and grow professionally.
- A knowledge-sharing environment – high expertise within the team.
- Our culture is created by employees themselves – we listen to them and help create and support corporate interest-based communities.
- A cohesive team working on common tasks and knowing how to relax well.
- Stable salary and annual bonus.
- Voluntary medical insurance (DMS).
- A modern IT office near Moscow City, five minutes from "Kutuzovskaya" metro station, with a fitness hall.
