Responsibilities:
Investigate fraud incidents:
- Collect and analyze incident data (analysis of logs/other technical user data);
- Determine the causes and consequences of the incident;
- Respond and take operational measures to stop the current incident (add data to antifraud mechanisms, direct blocking/transfer of data for blocking fraudulent accounts, escalate information to adjacent departments if necessary);
- Process and document incidents;
- Formulate a list of recommendations for preventing repeat incidents (e.g., improvements to antifraud mechanisms or creation of new ones).
Identify new fraud trends and schemes:
- Conduct control measures to detect fraudulent activity;
- Analyze fraud signals from other departments to identify new schemes;
- Update knowledge of new fraud methods and technologies;
- Monitor the effectiveness of antifraud algorithms, analyze anomalies in algorithm triggers, and refactor them.
Analyze business features for fraud risks:
- Identify vulnerabilities in the business logic of features;
- Provide quality feedback and control the closure of identified risks.
Candidate Requirements:
- At least 6 months of experience in antifraud;
- Analytical mindset;
- Higher technical education;
- Basic knowledge of statistics and probability theory;
- Experience with SQL;
- Ability to find connections in data, analyze large volumes of information;
- Knowledge of Python will be a plus.
