Trading Risk & Anti-Fraud Team Lead
New
J
JustMarketsTrading risk
Location: Europe; Opportunity to work remotelyFull-TimeLead
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- English at Upper-Intermediate (B2) or higher; Intermediate (B1) or higher
- Experience
- 5+ years of experience in the Ukrainian requirements; 3+ years of experience in the English requirements
- Required Skills
- PythonSQLNumpyPandas
Requirements
- Have 3+ years of experience in FX/CFD brokers, cryptocurrency exchanges (CEX/DEX), HFT, market-making, prime brokerage, or proprietary trading; the Ukrainian requirements state 5+ years.
- Bring experience in roles such as Risk Product Manager, Senior Trading Risk Analyst, Quantitative Risk Lead, or Surveillance Strategy Lead.
- Understand A-Book, B-Book, C-Book, STP, and internalization models and their impact on company P&L.
- Know pricing principles, L2/L3 order books, adverse selection, markouts, spreads, slippage, execution latency, and fill quality.
- Have hands-on experience detecting and mitigating latency arbitrage, scalping, news-spike exploitation, toxic flow, wash trading, spoofing, layering, or DEX/MEV attacks.
- Understand statistics, probability distributions, time series, expectancy, drawdown, volatility, and Sharpe/Sortino ratios.
- Have practical experience with routers, bridges, monitoring systems, CEX matching engines, or risk management systems.
- Use SQL and Python, including Pandas, NumPy, Stats, and SciPy, to process tick-level data and test hypotheses.
- Be able to translate mathematical analysis into technical specifications with clear acceptance criteria.
- Meet the stated English proficiency requirement: B2 or higher in the Ukrainian requirements, or B1 or higher in the English requirements.
Responsibilities
- Develop and optimize A-Book/B-Book routing logic, Net Exposure limits, and flow-internalization algorithms.
- Design, backtest, and implement Detection Engine rules for toxic trading, arbitrage, and fraudulent activity.
- Design the risk-signal lifecycle from detection and validation through action and monitoring.
- Investigate relationships between client behavior, execution quality, liquidity costs, and broker P&L.
- Monitor deployed rules, analyze false positives and negatives, mitigate model drift, and adjust thresholds.
- Lead analysts, prioritize the research backlog, and mentor team members.
View Full Description & ApplyYou'll be redirected to the employer's site
