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 Responsibilities - 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 Requirements - 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 Will be a plus - 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 MetaTrader 4/5 Server/Manager APIs or CEX APIs/WebSockets - Understanding of the specific characteristics of the cryptocurrency trading industry - Proficiency in SQL and Python (Pandas, NumPy, Stats, SciPy) to independently process large volumes of tick-level data and test hypotheses We offer - 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)