Turbo Games - builds some of the fastest and most engaging crash games in the iGaming industry, offering 40+ Provably Fair titles enjoyed by players worldwide. As we continue to grow our high-load, real-time game ecosystem, weβre looking for an Anti-Fraud Analyst to be responsible for detecting, predicting, and preventing fraud through behavioral pattern analysis, risk model development, monitoring automation, and financial risk control π
Key Requirements:
- 3+ years of experience in Anti-Fraud / Risk / Payments Fraud / Operations Analytics
- Practical experience in developing or improving anti-fraud systems for iGaming products (casino, slots, instant, crash)
- Practical experience in detecting and analyzing bonus abuse mechanics
- Experience in detecting fraud schemes, abuses, and system vulnerabilities
- Understanding and practical experience working with:
- RTP, volatility, hit rate, and bonus mathematics
- player behavioral analytics
- approaches to multi-account detection
- bonus mechanics and bonus abuse scenarios
- Experience in risk modeling/forecasting and development of βprotectionβ, minimization of financial losses
Technical Requirements:
- Advanced SQL (CTE, optimization, window function)
- Python (pandas, numpy, scikit-learn) or R
- Experience working with large datasets β ClickHouse
- Basics of statistics and probability theory
- Preferably experience working in Power BI or a similar BI system
- Automation of reporting for daily fraud detection
Responsibilities:
- Analysis of financial and gaming indicators, as well as player activity
- Detection of:
- multi-accounting
- bonus abuse schemes
- bot behavior or the use of software for placing bets
- RTP or win-rate anomalies (binomial / poisson modelling for win-rate anomalies)
- Development of risk segmentation and fraud scoring models
- Configuration of real-time monitoring, triggers, and alerts
- Automation of anti-fraud processes and development of risk infrastructure
- Work with BI dashboards, SQL queries, and game round logs
- Preparation of risk reporting, conclusions, and recommendations for business, management, and product-operational teams jointly with the Anti-Fraud specialists
- Control and escalation of fraud risks
- Collaboration with Analytics, Backend, Product, and Operations teams
- Joint development of antifraud strategy and risk control system
Will be a plus:
- Experience in building risk-scoring or anomaly detection models
- Experience using (mathematical) statistical methods / ML in fraud analysis
- Work with fraud rules engines, antifraud platforms, or monitoring systems
- Experience in payments, KYC/AML, or high-risk geos (how to bypass KYC)
- Experience launching automated antifraud alerts and monitoring
- Understanding of how to abuse free spins / cashback
- Ability to prove with numbers the economic feasibility of blocking users (false positive effect)
We offer:
π§ββοΈ Work-life balance β even in challenging times
- We have created an environment where itβs pleasant to work and grow. Youβll find the balance between work and leisure and feel what itβs like to be part of a team that truly values you.
π» Work format
- Choose where and how to work β from home, the office, or anywhere in the world.
- Flexible schedule β we value your life rhythm.
π Atmosphere and development
- Gifts, giveaways, training, team buildings, and corporate events β youβll never be bored with us!
- Internal training, mentoring, access to courses.
- Career growth without bureaucracy.
π Vacation and sick leave
π Annual paid leave: 20 working days + 5 additional days off
π Paid sick leave: 15 days per year
π§ Professional support: access to psychologist consultations (compensation package may be extended)
π» Online development: regular webinars, workshops, and trainings on both professional and general topics
π Why us?
If you are looking for a friendly and ambitious product company that:
- Uses modern technologies,
- Values initiative and independence,
- Is focused on the constant development of the team and the product
Then we are waiting for you! π€