Trading Risk & Anti-Fraud Lead
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Before you apply
LocationEurope
Work moderemote · Czechia
Typefull-time
SeniorityLead
Experience3+ yrs
DepartmentRisk & Dealing
Company size501–1,000 people
PostedOct 28, 2026 · 1w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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 English
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 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
Skills
SQL
Python
Pandas
NumPy
SciPy
MetaTrader 4/5 Server/Manager APIs
CEX APIs/WebSockets
Benefits
Paid vacation
Paid sick leave
Medical insurance
Remote work
Professional education budget
Language learning budget
Wellness budget
About the role
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.
About the company
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)