Quantitative Developer

You will build infrastructure for agent-powered research, signal generation, and strategy management. You will develop real-time data pipelines across exchanges and on-chain sources, integrate APIs and blockchain data, implement research outputs for production trading, and create analytics and scenario-testing tools.

Responsibilities

• Build infrastructure for agent-powered research, signal generation, and strategy management
• Develop scalable real-time data pipelines across centralized exchanges, decentralized exchanges, and on-chain sources
• Enable LLM-driven tooling and intelligent orchestration for crypto-native workflows
• Implement signals, portfolio models, and execution logic with researchers
• Integrate exchange APIs and blockchain data into a unified environment
• Design robust, modular systems for multi-strategy and multi-venue deployment
• Build dashboards and internal tools for portfolio analytics, scenario testing, and attribution

Requirements

• Software engineering skills
• Python
• MLOps or distributed systems experience
• Research agent tooling, cloud-native infrastructure, or data-intensive backtesting systems background
• Understanding of crypto trading systems, including spot, perpetuals, options, and multi-venue connectivity
• Ability to deliver production-grade systems for live trading
• Blockchain data parsing or exchange integration experience
• Smart contract interaction, intent-based execution, or autonomous research infrastructure familiarity
• Crypto trading environment or live strategy deployment infrastructure experience