Senior Quantitative Analyst – Trading Risk, Fraud

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🔥 0 minutes ago

🌐 United Kingdom, Cyprus, +3 more countries – Remote

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⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 12%

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Logo of Zeal Group

Zeal Group

501 - 1000 employees

Founded 2017

💸 Finance

💳 Fintech

🤝 B2B

Finance • Fintech • B2B

Zeal Group is a business portfolio consisting of regulated financial institutions and fintech companies that specialize in multi-asset liquidity solutions in regulated markets. Operating under the trading name of ZFX, Zeal Group is backed by proprietary technology and has a presence in major global locations, including London, Tokyo, and New York. The company focuses on providing high-quality multi-asset trading services to retail and institutional investors without actively assuming market risk. Utilizing cutting-edge technology, Zeal Group sources the best prices in the institutional marketplace. The group is involved in trading in forex, stocks, indices, commodities, and cryptocurrencies, and is committed to transparency and best-in-class trading services.

📋 Description

• Design and build backend infrastructure, monitoring tools, and detection algorithms to identify toxic flow, latency arbitrage, and abusive trading patterns • Use built systems to investigate trading and non-trading activity, detect suspicious behavior, and report findings • Analyze existing and new trading products and promotions for fraud/abuse exposure and propose mitigations • Classify clients to support A-book/B-book decisioning and profitable execution outcomes • Own end-to-end delivery from raw data extraction and hypothesis testing through production deployment of monitoring and alerting systems • Identify process gaps and design new logic to increase automation and reduce manual intervention • Mentor others on technical and analytical approaches as the function grows • Report to the Head of Risk with high autonomy and minimal oversight

🎯 Requirements

• 5+ years' experience in a trading/FX/CFD brokerage environment, in a quantitative, risk, or analytics role • Demonstrated experience independently building and owning production-grade tools, dashboards, or systems (not just using existing ones) • Strong knowledge of FX/CFD products, trading conditions, and execution mechanics • Understanding of fraud/abuse patterns in trading (toxic flow, latency arbitrage, manipulation) • Bachelor's degree or higher in Mathematics, Statistics, Physics, Finance, or a related quantitative field • Comfortable working with high ownership and low supervision; proactive and self-directed • Experience with Python and/or SQL for data analysis and system-building (preferred) • Experience with A/B-book risk models, transaction cost analysis, or execution analytics (preferred) • Exposure to regulatory reporting (MAR, FCA, CySEC, ASIC) (preferred) • Track record of mentoring junior analysts (preferred)

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