Antifraud Analyst

What you should do:

Development and support of anti-fraud strategies:

• Development and implementation of rules for fraud detection at all stages of the credit process (application analysis, decision-making, underwriting, post-monitoring).
• Evaluating the effectiveness of anti-fraud solutions and adjusting strategies.
• Implementation of anti-fraud rules and use of external data (government services, credit history bureaus, telco, etc.).

Data analysis:

• Collecting and analysing data to identify fraudulent activities,
• Data visualisation, preparation of regular reports and analytics for management.Hypothesis generation and testing:

Forming hypotheses to identify new fraud schemes and product vulnerabilities:

• Conducting A/B testing and pilot runs to test hypotheses.
• Assessing the impact of hypotheses on business processes and optimising solutions based on them.

Providing anti-fraud expertise:

• Providing fraud prevention expertise and advice to related teams and management.
• Suport underwriting process.

POS Agent Support:

• Evaluating POS agents' performance in anti-fraud interventions.
• Designing program to improve agent performance based on the results of their performance evaluation and providing recommendations for their development.

What you should have:

• Minimum of 3 years working in risk management or fraud prevention in the financial industry.
• Experience in building fraud prevention systems and analysing data at all stages of the credit process (application, decision making, monitoring).
• Strong knowledge of SQL and experience with databases (e.g. Oracle, PostgreSQL).
• Skills with analytical tools: Tableau, Power BI, Python.
• Understanding of anti-fraud scoring development processes
• Bachelor's education in maths, computer science, physics or economics.
• Fluency in English