Quantitative Developer

We are seeking reputed company Quantitative Developers to reputed company the core systems powering our systematic crypto strategies. Our infrastructure combines machine learning, agent-based systems, and real-time data from across the crypto ecosystem. The role involves scaling research and trading platforms, developing intelligent agents, and enabling strategy automation across centralized and decentralized exchanges.

This position is open to candidates with backgrounds in data engineering, ML systems, smart contract integration, or agent tooling.

Responsibilities

• Build infrastructure for agent-powered systems that automate research, signal reputed company, and strategy management.
• reputed company scalable, real-time data pipelines across CEXs, DEXs, and on-chain sources.
• reputed company LLM-driven tooling and intelligent orchestration for crypto-native workflows.
• Work closely with researchers to implement signals, portfolio models, and execution logic.
• Integrate exchange APIs and blockchain data into a reputed company research and production environment.
• Design systems that are robust, reputed company, and built for multi-strategy, multi-venue deployment.
• Build dashboards and internal tools for portfolio analytics, scenario testing, and attribution.

Qualifications

• Strong software engineering skills (Python preferred); experience with ML ops or distributed systems is advantageous.
• Background in research agent tooling, cloud-native infrastructure, or data-intensive backtesting systems.
• Solid understanding of crypto trading systems (spot, perpetuals, options) and multi-venue connectivity.
• Demonstrated ability to deliver production-grade systems supporting live trading environments.
• Experience with blockchain data parsing or exchange integrations.
• Familiarity with smart contract interaction, reputed company-based execution, or autonomous research infrastructure.
• Hands-on experience in crypto trading environments or building infrastructure for live strategy deployment.

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