Quantitative Trader (Associate/VP) - Onchain Trading

**Who We Are:** Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality. Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI. Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.

### Risk & Allocation - Build and maintain risk monitoring systems and capital allocation algorithms for our onchain curator program - Contribute to quantitative frameworks for position sizing, exposure management, and drawdown controls across DeFi protocols - Support real-time portfolio risk tracking across chains and venues ### Strategy Design & Execution - Design and operate bespoke trading strategies across DeFi protocols, including AMMs, lending markets, perpetuals, and structured products - Identify and exploit structural inefficiencies in on-chain markets, liquidity pools, and token incentive mechanisms - Iterate on live strategies based on on-chain data, protocol changes, and market microstructure developments - Monitor deployed strategies and manage operational incidents across multiple blockchains ### Liquidity Agreements - Assist in the design and negotiation of custom liquidity provision agreements with protocols, DAOs, and ecosystem funds - Support structuring of incentive arrangements, token agreements, and liquidity mining programs - Track performance against agreed terms and contribute to counterparty reporting ### AI Implementation - Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. - Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

### What We’re Looking For - 2–5 years of experience in quantitative trading, systematic strategy research, or algorithmic development - Solid Python programming skills, with experience building data pipelines, backtests, or trading tools. Keen interest in exploring and working with new technologies - Deep contract-level knowledge of DeFi protocol mechanics — AMMs (Uniswap, Curve, Orca), lending markets (Aave, Morpho), and other protocols - Understanding of blockchain infrastructure and on-chain data - Degree in a quantitative field – Computer Science, Computer Engineering, Applied Mathematics, Physics, etc.

### What We Offer - Competitive base salary and discretionary bonus - Hybrid/Flexible Working Arrangements - Flexible Time Off (paid) - 3% 401(k) company contribution - Company-paid health and protective benefits for employees, partners, and other dependents - Generous paid Parental Leave - Competitive family planning benefits for US employees - Opportunities to learn about the Crypto industry - Smart, entrepreneurial, and fun colleagues - Free daily snacks and weekly breakfasts/lunches - Employee Resource Groups - Free coaching and counseling sessions through Headspace

Galaxy Digital is a technology-driven financial services and investment management firm providing institutions and direct clients with comprehensive solutions across the digital assets ecosystem. The company operates two main business segments: Digital Assets (offering trading, asset management, lending, and advisory services) and Data Centers (developing AI and high-performance computing infrastructure).