Data Scientist - Quant

Responsibilities

• Lead and manage end-to-end quant / actuarial projects, ensuring successful delivery against timelines and objectives.
• Build, validate, and deploy detection signals to capture market inefficiencies and arbitrage opportunities across markets.
• Apply actuarial / quantitative principles to design robust models for risk, pricing, and performance monitoring.
• Collaborate with cross-functional stakeholders including data and engineering teams to identify opportunities and implement data-driven solutions.
• Continuously research, test, and implement new methodologies for predictive modelling and signal optimization.
• Communicate findings, insights, and recommendations clearly to both technical and non-technical stakeholders.
• Ensure documentation, reproducibility, and best practices are embedded into all modeling and project workflows.

The Successful Applicant

What's on Offer

If you are passionate about data and want to make an impact, we encourage you to apply for the Data Scientist role today!

Contact Charlene Fernandez

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Phone number

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