Arrakis Finance Zürich vor 3 Monaten

Senior Quant Engineer

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Das ist der Job

Arrakis is expanding into a new area of systematic liquidity provision across advanced on-chain trading venues .

Darum lohnt es sich

Overview 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.

Collaborate with on-chain and protocol teams to integrate trading logic into broader infrastructure.

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 Join an amazing team of industry veterans focused on revolutionising web3 market making, collaborating with major projects like MakerDAO, Uniswap, Aave, Lido, operating fully remotely with members spanning Zug, Paris, New York, Berlin supported by world-class investors including Uniswap Labs, Robot Ventures, Accel, Longhash, and more.

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.

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).

Responsibilities 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. Improve tooling, workflows, and deployment safety to enable faster iteration without compromising control.

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. What we offer: Competitive salary Work with the Founders in person, in Switzerland Chance to travel the world to go to exciting events, connecting with key industry players Join amazing in-person offsites all over the world #J-18808-Ljbffr

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