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, we’re 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
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 “protection”, minimization of financial losses
Technical Requirements: — Advanced SQL (CTE, optimization, window function) — Python (pandas, numpy, scikit-learn) or R — Experience working with large datasets — 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: ♂️ Work-life balance — even in challenging times — We have created an environment where it’s pleasant to work and grow. You’ll find the balance between work and leisure and feel what it’s like to be part of a team that truly values you.
Work format — Choose where and how to work — from home, the office, or anywhere in the world. — Flexible schedule — we value your life rhythm.
Atmosphere and development — Gifts, giveaways, training, team buildings, and corporate events — you’ll never be bored with us! — Internal training, mentoring, access to courses. — Career growth without bureaucracy.
Vacation and sick leave Annual paid leave: 20 working days + 5 additional days off Paid sick leave: 15 days per year Professional support: access to psychologist consultations (compensation package may be extended) Online development: regular webinars, workshops, and trainings on both professional and general topics
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
