Job Description

Zeal Group is an award-winning global FinTech powerhouse with 700+ professionals across London, Europe, Asia, MENA, and South America. Through our subsidiary Traze, we deliver advanced multi-asset trading solutions across Gold, Oil, FX, Indices, and Cryptocurrencies, built for today’s fast-moving, high-volatility markets.

The Trading Anti‑Fraud Manager will lead the Trading Anti‑Fraud (TAF) function, owning the framework for detecting, investigating, and preventing trading fraud and abusive trading across all regions and products. In addition to managing the day‑to‑day operations of the TAF team, this role will act as a strategic partner to senior leadership, advising on fraud‑risk trends, mitigation strategies, and continuous improvements to trading products, promotions, and processes in line with best practice in the FX/CFD sector.

Responsibilities:

• Lead, coach, and develop the TAF team, ensuring high‑quality handling of all fraud alerts, cases, and investigations.​
• Own and enhance the trading anti‑fraud framework, rules, and monitoring to detect abusive trading, protect A‑book performance, and contain losses from fraud/abuse.
• Partner with Trading, Risk, Product, Marketing, and Compliance to assess fraud risk in new/existing products and promotions, embedding effective controls by design.
• Provide regular reporting and strategic recommendations to senior leadership on fraud patterns, KPIs/KRIs, control gaps, and improvement initiatives.​

Requirements

Required Skills and Experience:

• 6+ years’ experience in FX/CFD trading‑fraud, dealing, trading‑risk, or trading support, including 2+ years in a team‑lead/manager role.
• Strong knowledge of FX/CFD products, trading conditions, client‑flow dynamics, and common trading‑fraud/abuse scenarios in retail brokerage.
• Advanced Excel/Google Sheets; hands‑on experience with trading platforms, monitoring/alerting tools, and case‑management workflows.
• Bachelor’s degree in Finance, Mathematics, Statistics, Economics, or related field; SQL or Python for data analysis is a strong plus.

Must Have Skills:

• Proven leadership and people‑management skills, with the ability to build, motivate, and develop a high‑performing analytical team.
• Excellent analytical, problem‑solving, and decision‑making abilities, using data to design and optimise fraud‑detection rules and processes.
• Strong stakeholder‑management and communication skills, able to influence senior leaders and collaborate effectively across Trading, Risk, Compliance, Product, and Marketing.
• High integrity, ownership mindset, and a proactive, improvement‑driven approach to managing complex fraud risks in a fast‑paced FX/CFD environment