Senior Quantitative Analyst – Trading Risk & Fraud

Zeal Group is a globally recognized FinTech company with more than 700 professionals operating across London, Europe, Asia, the Middle East and North Africa (MENA), and South America.

Through its subsidiary, Traze, the company provides advanced multi-asset trading solutions covering Gold, Oil, Foreign Exchange (FX), Indices, and Cryptocurrencies, serving traders in today’s rapidly changing and highly volatile financial markets.

About the Role

Zeal Group is seeking an experienced Senior Quantitative Analyst – Trading Risk & Fraud to take ownership of the technical and analytical infrastructure supporting its trading risk and fraud operations.

This is a hands-on individual contributor position rather than a management role. The successful candidate will be responsible for developing, implementing, and maintaining systems designed to identify toxic order flow, latency arbitrage, fraudulent activity, and other forms of abusive trading behavior.

In addition to developing these tools, you will actively use them to investigate trading activity, classify client behavior, identify potential risks, and support appropriate risk-management decisions.

The position reports directly to the Head of Risk and offers significant autonomy. Candidates should therefore be comfortable working independently, taking ownership of projects, and operating with limited supervision.

Strong practical experience in machine learning and data science within financial markets is particularly important.

Key Responsibilities

The Senior Quantitative Analyst will:

• Develop backend infrastructure, monitoring systems, and detection algorithms for identifying toxic flow, latency arbitrage, and suspicious or abusive trading activity.
• Investigate both trading and non-trading activity using internally developed analytical systems and report relevant findings.
• Assess existing and newly introduced trading products and promotional campaigns for potential fraud or abuse risks and recommend appropriate safeguards.
• Analyze and classify clients to support A-book and B-book decision-making and improve execution profitability.
• Manage projects throughout the full data lifecycle, including raw data extraction, hypothesis development and testing, system implementation, production deployment, monitoring, and alerting.
• Identify weaknesses or inefficiencies in existing risk processes and develop automated solutions that reduce the need for manual intervention.
• Help strengthen the technical capabilities of the risk function by sharing knowledge and mentoring colleagues as the team expands.

Requirements

Essential qualifications and experience:

• At least 3 years of professional experience within quantitative trading, financial trading, or an FX/CFD brokerage environment, preferably in a quantitative, analytics, or risk-focused position.
• Strong proficiency in Python is required.
• Proven experience independently designing, developing, and maintaining production-ready systems, dashboards, analytical tools, or similar technical solutions.
• Evidence of completed data science projects, preferably projects managed from initial concept and analysis through production deployment.
• Strong understanding of financial trading instruments, execution mechanisms, market conditions, and brokerage operations.
• Knowledge of trading-related fraud and abusive practices, including toxic flow, latency arbitrage, and market manipulation.
• A bachelor’s degree or higher in Mathematics, Statistics, Physics, Finance, or another relevant quantitative discipline.
• Ability to work independently, take initiative, and manage responsibilities with minimal supervision.

Preferred Qualifications

Additional advantages include:

• Experience working with SQL.
• Knowledge of A-book/B-book risk models, transaction cost analysis, or trade execution analytics.
• Familiarity with regulatory reporting requirements and frameworks associated with organizations such as the FCA, CySEC, or ASIC, including MAR-related requirements.
• Previous experience mentoring or supporting junior quantitative or analytical professionals.

Who This Role Is For

This opportunity is particularly suited to a quantitative professional who enjoys building systems from the ground up rather than simply analyzing prepared datasets.

Zeal Group is looking for someone who approaches problems systematically, takes initiative, and wants meaningful ownership of the technology and analytics supporting a real-world trading risk function.