In this role, you will design, build, and fully automate hedging strategies for market making. You’ll take algorithmic models from research to production - reacting to real-time market moves - at a scale that moves millions in assets. The work spans risk and cost optimization in a modern tech stack using cost‑efficient burst computations.
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Develop hands-on in Python alongside a highly motivated team of quant developers and software engineers, driving transformative changes in the financial industry
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Get to work on cutting edge technology and be part of modern software development practices (e.g. agile and self-sufficient teams, continuous integration and deployment, test automation, cloud-based infrastructure and tooling)
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Implement trading algorithms based on large datasets that enhance quoting and execution strategies, and adapt to changing market conditions
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Understand and apply risk management practices and ensure regulatory compliance
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Never implement any of the above in spreadsheet tools