# Trading Risk & Anti-Fraud Lead at JustMarkets

Trading Risk & Anti-Fraud Lead at JustMarkets in Europe. Full-time. Posted October 28, 2026.

- Company: JustMarkets
- Location: Europe
- Job type: Full-time
- Experience: 3+ years
- Posted: 2026-10-28
- Apply: https://job-boards.eu.greenhouse.io/justmarkets/jobs/4989852101
- Source: https://jobmagic.ai/jobs/trading-risk-anti-fraud-lead-justmarkets-x01bxc

## 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

## Description

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)