DeFi Algorithmic Trader: Data-Driven Market Maker

Wintermute Group; New York, Northern (NY, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Wintermute Group is seeking a motivated DeFi researcher to join our DeFi team full-time. You will research on-chain protocols and run data-driven experiments to deepen our understanding of decentralized finance within a fast-paced trading environment.

The role emphasizes collaboration with experienced traders and developers, exploring multiple codebases and languages, and contributing to the design and microstructure of protocols. A passion for learning and open dialogue is valued.

Qualifications

• Proficiency in Rust or Python.
• Experience with Linux environments and Git.
• Experience with programmatic statistical analysis and quantitative/analytic skills.
• High level understanding of high-frequency market making strategies.
• Understanding of blockchain fundamentals and mechanics of the EVM.
• Familiarity with smart contract development and the Foundry toolkit.
• Passion for learning about protocol microstructure and design mechanisms.

Responsibilities

• Research on-chain protocols and run data-driven experiments to advance understanding of DeFi.
• Collaborate with traders and developers; work across multiple codebases and languages.
• Contribute to analysis of protocol microstructure and design mechanisms.

Skills

Rust

Python

Linux

Git

Statistical analysis

Quantitative skills

High-frequency trading

EVM

Smart contract development

Foundry toolkit

Protocol microstructure

Tools

Foundry

Job description

Wintermute Group is seeking a motivated DeFi researcher to join our DeFi team full-time. You will research on-chain protocols and run data-driven experiments to deepen our understanding of decentralized finance within a fast-paced trading environment.

The role emphasizes collaboration with experienced traders and developers, exploring multiple codebases and languages, and contributing to the design and microstructure of protocols. A passion for learning and open dialogue is valued.