Zeal Group in the United Kingdom seeks a Senior Quantitative Analyst to own the back-end risk and fraud infrastructure for trading activities. You will design and deploy production-grade detection systems, investigate suspicious activity, and contribute to end-to-end analytics from data extraction to deployment.
The role requires hands-on experience with machine learning in financial markets, strong Python skills, and a proactive, self-directed approach.
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Senior Quant | Build Risk & Fraud Detection Systems employer: Visa Hunt
Axle Energy is an exceptional employer for data scientists, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With competitive compensation packages and opportunities for professional growth, employees are encouraged to deepen their expertise in energy markets while working on impactful projects that drive real change in the industry.
