Alpha Researcher
Defuse Labs develops NEAR Intents to enable seamless cross-chain interactions in an automated world — connecting AI, services, and financial applications.
About Defuse Labs
At Defuse Labs we design intent-driven liquidity layers, where smart contracts breathe, AI transacts and chains sync in real-time With expertise in AI, cryptography, and decentralized finance, our team is redefining how intelligent agents interact across blockchain networks. Defuse Labs is pioneering NEAR Intents, a next-generation transaction framework designed to enable seamless, AI-driven financial interactions. By automating complex cross-chain operations, NEAR Intents empowers autonomous agents, smart contracts, and decentralized services to execute transactions efficiently and securely.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will research, test, and refine quantitative trading strategies across on-chain and cross-chain markets. You will build signal-generation, alpha-discovery, performance-attribution, analytical, simulation, and execution tooling. You will translate research into production systems, monitor market and portfolio performance, optimize liquidity, and identify new market opportunities.
Requirements
- 3+ years of experience in quantitative research, algorithmic trading, market making, or systematic investing
- Strong background in mathematics, statistics, computer science, engineering, or a related quantitative field
- Experience developing and deploying systematic trading strategies in crypto or traditional financial markets
- Strong TypeScript programming skills
- Deep understanding of market microstructure, execution algorithms, liquidity dynamics, and risk management
- Experience working with large datasets and building analytical pipelines
- Ability to collaborate with software engineers and protocol developers
- Ability to translate research into profitable strategies
- Excellent communication skills for technical and business audiences
Responsibilities
- Design game-theoretical models for interactions among the NEAR Intents protocol, distribution channels, market makers, and end users
- Research, design, test, and iterate quantitative trading strategies across on-chain and cross-chain markets
- Build frameworks for signal generation, alpha discovery, and performance attribution
- Develop systematic trading and liquidity optimization capabilities
- Translate research into production-grade systems with protocol engineering
- Develop analytical infrastructure, simulation environments, and tooling for strategy research and execution
- Monitor market conditions, execution quality, and portfolio performance to improve trading models
- Identify market opportunities and monetization strategies with product and ecosystem teams
- Contribute to metrics, reporting, and experimentation frameworks
