Senior Quant Engineer
External
Arrakis Finance · Zurich, SwitzerlandPrepare for this interview
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Requirements
- Our ideal candidate has:
- Deep hands-on experience building order book market making strategies - specifically passive/maker-oriented, not aggressive taker strategies
- Ability to model, build, backtest, deploy, and iterate on such systems end to end
- Can articulate different market making model approaches (e.g. Avellaneda-Stoikov style math-based models vs. ML-based approaches) and their trade-offs in practice
- Based in or willing to relocate to Zürich area (3 days/week in office required)
Benefits
Additional Information
Arrakis aims to disrupt the current market-making industry by providing the infrastructure to enable every project in the world that wants to launch a token to benefit from non-custodial, trust-less, and automated on-chain market-making strategies. We believe in a world where every organisation, from a small startup to a large enterprise, will be tokenised and traded on-chain. For this world, Arrakis is building the tools to create the necessary liquidity to enable this token economy to rival and out-compete the traditional financial industry. Arrakis is expanding into a new area of systematic liquidity provision across advanced on-chain trading venues . This initiative focuses on markets where derivatives, leverage, and high-frequency execution dynamics introduce a significantly more complex trading environment than traditional spot AMMs. We need a Senior Quant Engineer (not a pure researcher, not a pure developer - someone who bridges both). What you'll accomplish Design and build market-making engines, including pricing, quoting, inventory management, and hedging logic. Develop and maintain real-time risk and exposure management systems, including limits, monitoring frameworks, and kill-switch mechanisms. Own architectural decisions related to performance, scalability, and system resilience. Collaborate with on-chain and protocol teams to integrate trading logic into broader infrastructure. Improve tooling, workflows, and deployment safety to enable faster iteration without compromising control.
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