Trading Risk & Anti-Fraud Lead

We invite you, a highly motivated and results-oriented Trading Risk & Anti-Fraud 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)