Quant / Trading Engineer

📋 Description

• • As a Quant / Trading Engineer at MLabs, you will be instrumental in building the foundational layer for the next generation of financial markets, specifically focusing on perpetual markets powered by onchain economic activity.
• • Your core mission will be to develop and refine the signal layer and APIs that significantly enhance the effectiveness of autonomous trading agents. This role transcends simple data movement; it involves transforming raw market behavior into sophisticated, agent-readable signals.
• • You will be working directly within the Hyperliquid ecosystem, optimizing the discovery and execution of trading strategies through a dedicated application.
• • As a key member of our early-stage team, you will operate at the critical intersection of quantitative finance, crypto market structure, and high-performance onchain data systems.
• • A primary responsibility will be Signal Engineering: converting complex, raw market data and intricate trader behavior into structured, easily interpretable signals and robust, production-grade APIs.
• • You will also be involved in Agent Optimization, designing specific features that aim to reduce ambiguity for autonomous agents, thereby minimizing the need for complex prompt engineering or manual intervention.
• • System Ownership is a crucial aspect of this role. You will be responsible for shipping and maintaining pipelines and services that operate continuously, ensuring high availability and adapting to evolving market dynamics.
• • The role involves developing and refining a variety of target outputs, including but not limited to:
• • Correlation and regime detection models to identify prevailing market conditions.
• • Advanced trader tagging and behavioral taxonomy to categorize participant actions.
• • Comprehensive candle and market structure feature sets for in-depth analysis.
• • Real-time risk and momentum indicators to gauge market sentiment and volatility.
• • Rigorous confidence and edge scoring mechanisms with well-defined schemas and validation processes.
• • You will contribute to the development of a platform that allows traders and autonomous agents to take directional exposure to the growth or decay of applications, protocols, and infrastructure within the onchain economy.
• • This is a unique opportunity to work on cutting-edge technology in a rapidly evolving space, contributing to the infrastructure that will define future financial markets.
• • You will collaborate with a talented team of engineers and quantitative researchers, fostering a culture of innovation and continuous learning.
• • The role demands a proactive and self-starting attitude, essential for an early-stage startup environment where defining processes and solutions is part of the daily work.
• • You will gain deep insights into the intricacies of onchain perpetual exchanges and the challenges of building high-frequency trading systems in a decentralized environment.
• • The impact of your work will be directly visible in the performance and capabilities of trading agents operating on the platform.
• • You will be responsible for ensuring the reliability, scalability, and performance of the systems you build, adhering to best practices in software engineering and quantitative development.
• • This position offers a chance to be at the forefront of innovation in decentralized finance (DeFi) and the emerging field of autonomous agents in trading.
• • You will be challenged to think creatively and analytically to solve complex problems related to market data, algorithmic trading, and system design.
• • The role requires a strong understanding of financial markets, particularly in the context of digital assets and blockchain technology.
• • You will contribute to building a product that aims to democratize access to sophisticated trading strategies and financial instruments.
• • The opportunity to shape the technical direction and architecture of a novel financial platform is significant.
• • You will be expected to stay abreast of the latest developments in quantitative finance, machine learning, and blockchain technology to inform your work.
• • The position offers a high degree of autonomy and the chance to make a tangible impact on the company's success and the broader onchain financial ecosystem.