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.
Requirements
- 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
