Quantitative Trader (Associate/VP) - Onchain Trading
Role in brief
Galaxy Digital seeks a Quantitative Trader to develop and manage algorithmic trading strategies within decentralized finance. This role focuses on identifying market inefficiencies, building risk management systems, and leveraging AI for performance. Candidates with 2-5 years of quantitative trading experience, strong Python skills, and deep knowledge of DeFi protocols should apply to contribute to onchain trading and liquidity solutions.
About the role
This role involves designing and executing bespoke trading strategies across various DeFi protocols, such as AMMs, lending markets, and perpetuals. The Quantitative Trader will identify and capitalize on structural inefficiencies within on-chain markets, liquidity pools, and token incentive structures. Success in this area means continuously iterating on live strategies based on real-time on-chain data, protocol changes, and market microstructure developments, while also managing operational incidents across multiple blockchains.
A core responsibility is building and maintaining robust risk monitoring systems and capital allocation algorithms for the onchain curator program. This includes developing quantitative frameworks for position sizing, exposure management, and drawdown controls across different DeFi protocols. The role also supports real-time portfolio risk tracking across various chains and venues, ensuring effective management of trading capital and exposures.
Beyond strategy and risk, the trader will assist in structuring custom liquidity provision agreements with protocols, DAOs, and ecosystem funds. This involves designing incentive arrangements, token agreements, and liquidity mining programs, then tracking their performance. The position also champions the adoption of AI tools, such as generative AI and data copilots, to enhance productivity, decision-making, and overall team performance in daily tasks.
The listed salary range for this position is between $150,000 and $200,000 USD.
Skills that matter here
- Python: This role requires Python for building data pipelines, backtesting strategies, and developing trading tools.
- DeFi: Deep contract-level knowledge of DeFi protocol mechanics, including AMMs and lending markets, is essential for strategy design and execution.
- algorithmic trading: The position involves designing and operating bespoke algorithmic trading strategies across various on-chain markets.
- data analysis: On-chain data analysis is crucial for identifying market inefficiencies, iterating on strategies, and supporting risk management.
Who this role suits
- You have a quantitative background and 2-5 years of experience in systematic strategy research or algorithmic development.
- You possess a deep curiosity for new technologies and can apply AI tools to improve trading outcomes.
- You are adept at identifying market inefficiencies and translating them into actionable trading strategies.
- You can manage real-time risks and monitor operational incidents across multiple blockchain environments.
From the employer
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
Questions about this role
What is the remote work policy for this role?
This position is listed as remote, with hybrid/flexible working arrangements offered.
What level of seniority is expected for this role?
The role is for an Associate/VP level, requiring 2-5 years of experience in quantitative trading or algorithmic development.
What is the salary range for this position?
The salary for this position ranges from $150,000 to $200,000 USD.