Full-timeMonaco Research

Sei Labs

Monaco Trading - Lead Quantitative Developer

New York City

Posted

3mo ago

Type

Full-time

Location

New York City

Job Overview

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

Core Requirements

Monaco Research