Global Head of Risk and Trading

About us Zeal Group is an award-winning FinTech organization committed to offering innovative products and solutions. Established in 2017, we have rapidly expanded to a team of over 700 employees globally 🌍. With offices strategically located across Europe, Asia, North & South Africa, the Middle East, and South America, our technology hubs are centred in Cyprus 🚀. We pride ourselves on being a people-oriented and product-focused company that values growth, collaboration, and groundbreaking technology 🤝. About the Role We are seeking a highly experienced and forward-thinking Global Head of Risk & Trading to lead our global risk, trading, and quantitative strategy functions Zeal Group. You will oversee a global team responsible for real-time trading risk management, pricing integrity, order-flow analytics and trading-fraud prevention. Responsibilities Lead global risk, trading, and quant analytics teams across MT4/MT5 and proprietary platforms. Build and implement quantitative risk models using machine learning/AI for client classification, order-flow analysis, and predictive risk monitoring. Analyse CFD order flows (with a focus on gold and high-volatility products) to identify patterns, risks, and profitability opportunities. Detect and investigate trading abuse, fraud, latency arbitrage, bonus exploitation, and other high-risk behaviours. Assess risk in new/existing trading products and promotional campaigns; propose mitigation strategies. Reduce losses from abusive trading by enhancing controls, automation, and risk processes. Drive automation initiatives across the risk and trading stack—logic engines, alerts, dashboards, and workflow automation. Bachelor’s degree in mathematics, Computer Science, Engineering, Quantitative Finance, or similar. 5–8+ years of CFD/FX risk or trading experience in a retail brokerage (mandatory). Strong knowledge of FX/CFD products, pricing, liquidity, and order-flow dynamics. Deep understanding of trading fraud/abuse scenarios and risk controls. Experience with quantitative modelling; familiarity with Python/SQL is a plus. Strong analytical mindset with excellent attention to detail. Proven leadership skills and the ability to manage global teams. Strong communication, organisational, and problem-solving abilities