Senior Quantitative Analyst - Trading Risk & Fraud

• 3+ years' experience in Quant/Trading OR FX/CFD brokerage environment, in a quantitative, risk, or analytics role.
• Proficient experience with Python is mandatory.
• Demonstrated experience independently building and owning production-grade tools, dashboards, or systems (not just using existing ones).
• Can provide evidence of data science related projects, ideally end-to-end driven projects.
• Strong knowledge of financial trading 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 SQL.
• Experience or understanding of A/B-book risk models, transaction cost analysis, or execution analytics.
• Exposure to regulatory reporting (MAR, FCA, CySEC, ASIC).
• Track record of mentoring junior analysts.

This role suits someone who wants to build something from the ground up and use it, not just analyze data others have prepared. If you're a quant who thinks in systems, takes initiative without being asked, and wants ownership over a real risk function — this is built for you.