Trading Risk & Anti-Fraud Strategy Lead

We invite you, a highly motivated and results-oriented Trading Risk & Anti-Fraud Team Lead
, to join our team full-time for ensuring solutions, as well as strengthening the product.

Our team has unique expertise in research, analysis, and product development. By relying on technical insights and a data-driven approach, we create disruptive future-defining innovations of the fin-tech industry that remain our basis for success

• Develop and optimize the business logic for A-Book/B-Book routing, Net Exposure limits, and flow internalization algorithms to maximize B-Book yield
• Design, backtest, and implement new rules in the Detection Engine to identify toxic trading, arbitrage, and fraudulent activity
• Design the complete lifecycle of risk signals:
  Detection, Observation, Validation, Confirmation, Action, Monitoring
• Investigate the relationships between client behavior, execution quality (slippage, latency, fill rate), liquidity costs, and the broker’s overall P&L
• Systematically monitor the performance of deployed rules, analyze false positives and false negatives, mitigate model drift, and adjust thresholds
• Lead a team of analysts, prioritize the research backlog, and mentor team members

• 3+ years of experience at FX/CFD brokers, cryptocurrency exchanges (CEX/DEX), HFT firms, market-making firms, prime brokerages, or proprietary trading firms in roles such as Risk Product Manager, Senior Trading Risk Analyst, Quantitative Risk Lead, or Surveillance Strategy Lead
• In-depth understanding of brokerage models (A-Book, B-Book, C-Book, STP, and internalization) and their direct impact on company P&L
• Strong knowledge of pricing principles, order books (L2/L3), adverse selection, markouts (1s, 5s, 1m), spreads, slippage, execution latency, and fill quality
• Hands-on experience detecting and mitigating latency arbitrage, scalping, exploitation of news-driven price spikes, toxic flow, wash trading, spoofing, layering, and DEX/MEV attacks
• Understanding of statistics, probability distributions, time series, mathematical expectation (expectancy), drawdown, volatility, and Sharpe/Sortino ratios
• Practical experience with routers, bridges, and monitoring systems, CEX matching engines, risk management systems (RMS)
• Intermediate (B1) or higher
• Ability to combine in-depth mathematical analysis of market data with a product-oriented approach, translating ideas into technical specifications with clear acceptance criteria

• Hands-on trading experience or experience developing algorithmic trading strategies, including HFT and market-making strategies
• Experience building a trading fraud or toxic flow detection system from scratch, from initial hypothesis through production deployment
• Knowledge of mathematical modeling methods, Monte Carlo simulations, Value at Risk (VaR), stress testing, and market panic scenarios
• Practical experience with Meta Trader 4/5 Server/Manager APIs or CEX APIs/Web Sockets
• Understanding of the specific characteristics of the cryptocurrency trading industry
• Proficiency in SQL and Python (Pandas, Num Py, Stats, Sci Py) to independently process large volumes of tick-level data and test hypotheses

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)