Lead Quant Engineer

At Toxic Flow Labs, we are building the foundation for global markets with a focus on speed, composability, and security. Our flagship product, Kuru Exchange, is a CLOB DEX built natively on Monad, bringing the speed and capital efficiency of centralized exchanges on-chain. Our key differentiation is an EVM-native, fully on-chain order book that unlocks a new standard for trading infrastructure in crypto. We’ve raised a total of $13.8M, led by Paradigm and Electric Capital, and are now focused on building a world-class team. Role & Responsibilities Design, build, and optimize the core trading systems powering the exchange, including execution, market making, and pricing infrastructure. Prototype, and implement quantitative models and trading strategies to improve liquidity, execution quality, and market efficiency. Build highly performant, low-latency systems with a focus on correctness, scalability, and reliability. Work closely with protocol, backend, and infrastructure engineers to design and implement new exchange features and trading primitives. Analyze market microstructure, trading behavior, and production data to identify opportunities for improving execution, incentives, and system performance. Drive the technical direction and architecture of the trading stack, balancing performance, maintainability, and operational simplicity. Lead technical discussions, and foster a culture of ownership, high engineering standards, and continuous learning. Stay abreast of advances in quantitative finance, decentralized finance, and distributed systems, evaluating and integrating new ideas where appropriate. Required 5+ years of experience designing and building high-performance, low-latency trading systems , such as execution engines, order management systems, market making infrastructure, matching engines. Demonstrated experience architecting and operating complex production trading systems , with a strong understanding of concurrency, networking, distributed systems, and performance optimization. Ability to reason about systems across multiple levels of abstraction to identify and eliminate performance bottlenecks. Strong foundation in algorithms, data structures, and systems design, with a focus on correctness, scalability, and latency-critical software. A demonstrated track record of high agency, willingness to dive into unfamiliar technical and non-technical areas and a team first attitude. Passion for decentralized finance, market microstructure, and building the next generation of financial infrastructure. Preferred Experience building infrastructure for crypto markets , including centralized or decentralized exchanges, market making systems, MEV, or execution platforms. Hands-on experience with blockchain systems, preferably EVM-based ecosystems. Experience leading small engineering teams. Why work with us? Challenging problems You’ll work on difficult, novel problems at the intersection of exchange design, low-latency systems, smart contracts, and crypto market structure. Many of these problems simply haven’t existed in this form before. Build from first principles We are pioneering an EVM-native, fully on-chain order book. You’ll have the opportunity to help define how this category of trading infrastructure is built, rather than simply improving on an established playbook. Huge opportunity Monad’s Parallel EVM makes it possible to build high-performance applications that were previously impractical on the EVM. Kuru is using that performance to bring a CEX-like trading experience and capital efficiency on a decentralised blockchain. High ownership, exceptional team We’re a small team, so your work will have a direct and visible impact on the product, architecture, and company. You’ll work alongside highly driven people who care deeply about quality, move quickly, and keep egos low. Culture and compensation We’re a lean, collaborative team working toward ambitious goals. As an early member, you’ll help shape how we work and what we build. You’ll also receive a competitive salary and equity package.