Jobs Companies Sei Labs Monaco Trading - Lead Quantitative Developer

Sobre este puesto de Monaco Trading - Lead Quantitative Developer en Sei Labs

Sei Labs · New York City

About Monaco

Sub-millisecond execution. Institutional depth. Zero compromise. Built by Wall Street veterans and crypto-native builders from Tier1 institutions, Monaco powers spot, perps, and prediction markets on a unified execution engine — purpose-built for performance, compliance, and capital efficiency spanning across asset classes. Tailored experiences across trading styles, bound together by liquidity. This goes beyond just another exchange, and establishes the next-generation global trading network.

The Role

We are looking for a Lead Quantitative Developer, with experience in designing and implementing systematic risk management frameworks. You will be entrusted with shaping the design, implementation, and maintenance of the core risk engines for Monaco across a variety of products and asset classes. This is an opportunity to work directly with the founders, and deliver a best-in-class trading experience.

Key Responsibilities

  • Leading the design and implementation of the core risk engine, including a robust multi-instrument margining system, that encompasses crypto + RWA assets

  • Shaping the design and growth of additional products (DOVs, iterative looping vaults, etc) with a risk-first approach.

Who You Are

  • 6+ years of experience across systematic trading and/or quant-dev roles, ideally cross-asset (crypto + traditional asset classes)

  • Deep understanding of crypto market microstructure (including oracle design), risk management frameworks used across existing CEXs/DEXs, as well as traditional finance models (VaR based tests, SPAN, SIMM, etc)

  • Must be proficient in Rust

  • High agency individual that is able to ideate and execute, while balancing breadth and depth of technical understanding

  • Bonuses:

    • Prior experience on an exchange risk management team

    • Understanding of low-level architecture / hardware optimization

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