Defuse Labs

Defuse Labs

Defuse Labs develops NEAR Intents to facilitate seamless cross-chain interactions in an automated environment, integrating artificial intelligence, services, and financial applications to enhance the efficiency of transactions across blockchain networks.

Internet Software & Services

Description

  • Design game-theoretic 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 competitive markets.
  • Build frameworks for signal generation, alpha discovery, and performance attribution.
  • Develop systematic trading and liquidity optimization capabilities for the Alpha Platform.
  • Partner with protocol engineering to translate research into production-grade systems.
  • Develop analytical infrastructure, simulation environments, and tooling for strategy research and execution.
  • Monitor market conditions, execution quality, and portfolio performance, and continuously improve trading models.
  • Collaborate with product and ecosystem teams to identify new market opportunities and monetization strategies.
  • Contribute to metrics, reporting, and experimentation frameworks to measure strategy effectiveness and business impact.

Requirements

  • 3+ years of experience in quantitative research, algorithmic trading, market making, or systematic investing (7+ years for Senior level).
  • 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 programming skills; TypeScript is required, and Rust, Python, or Go are a plus.
  • Deep understanding of market microstructure, execution algorithms, liquidity dynamics, and risk management.
  • Experience working with large datasets and building analytical pipelines.
  • Ability to collaborate effectively with software engineers and protocol developers.
  • Strong commercial mindset with the ability to translate research into profitable strategies.
  • Excellent communication skills and ability to explain complex quantitative concepts to technical and business audiences.
  • Experience building alpha generation or signal discovery engines (nice to have).
  • Knowledge of MEV, cross-chain execution, and decentralized exchange infrastructure (nice to have).
  • Experience with high-frequency or low-latency trading systems (nice to have).
  • Familiarity with AI and machine learning techniques applied to quantitative trading (nice to have).
  • Experience operating market-making or liquidity provision strategies (nice to have).
  • Contributions to open-source quantitative or blockchain infrastructure projects (nice to have).
  • Experience with Apache Airflow and dbt (nice to have).
  • Basic understanding of ELT processes and how they differ from traditional ETL workflows (nice to have).

Interested in this position?

Apply directly on the company website

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