Crypto Quantitative Researcher

About Us

Helix AI Capital is a next-generation proprietary trading and investment firm focused on systematic, discretionary, and hybrid strategies across global markets. The firm trades only its own capital, allowing for fast decision-making, flexible capital allocation, and strong alignment between researchers, portfolio managers, and the firm.

Our team brings together professionals with backgrounds from leading global universities, quantitative research, trading, technology, and financial markets. We value independent thinking, rigorous research, disciplined risk-taking, and practical strategies that can perform in live markets.

Helix AI Capital provides researchers with meaningful autonomy, strong technology and data infrastructure, flexible working arrangements, and highly competitive compensation. We are open to both on-site and remote candidates, depending on research focus, location, and collaboration needs.

The Role

We are looking for a Senior Quant Researcher to develop crypto trading strategies across spot, futures, perpetuals, options, DeFi, and other digital asset markets. The role is suitable for candidates with strong quantitative research ability, hands-on data experience, and a practical understanding of how research can be converted into live trading strategies.

The Senior Quant Researcher will be responsible for identifying market inefficiencies, building predictive signals, designing backtests, analyzing performance, and working with portfolio managers and engineers to bring strategies closer to production. Research areas may include medium-frequency alpha, statistical arbitrage, market microstructure, funding and basis, liquidity, volatility, order book signals, on-chain data, cross-exchange flows, and event-driven crypto opportunities.

The ideal candidate does not need to have independently managed capital before, but should be able to conduct rigorous research, think independently, and produce strategy ideas with clear economic intuition and live trading potential.

Responsibilities

• Research and develop quantitative trading strategies across crypto spot, derivatives, DeFi, and related markets.
• Analyze large-scale market data, including trades, order books, funding rates, open interest, liquidations, options data, and on-chain data.
• Build predictive signals, backtesting frameworks, performance attribution tools, and research pipelines.
• Evaluate strategy robustness, transaction costs, execution assumptions, liquidity constraints, and capacity.
• Collaborate with portfolio managers, traders, and engineers to improve strategy design and production readiness.
• Monitor live strategy performance where relevant and help diagnose signal decay, regime changes, and execution issues.
• Continuously explore new datasets, market structures, and trading opportunities in the crypto ecosystem.

Qualifications

• Strong quantitative research ability, including statistics, probability, time series analysis, optimization, or machine learning.
• Hands-on experience with Python, SQL, or similar data analysis tools.
• Experience researching or trading crypto markets is strongly preferred.
• Understanding of crypto market structure, including centralized exchanges, perpetual futures, funding rates, margin, liquidity, and order book dynamics.
• Experience with Binance, Bybit, OKX, Deribit, Hyperliquid, DeFi protocols, or on-chain data is a plus.
• Ability to design realistic backtests and distinguish robust signals from overfitting.
• Strong communication, intellectual curiosity, discipline, and ownership mindset.
• Bachelor's, Master's, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Finance, Economics, or a related quantitative field is preferred.
• Candidates from leading universities, hedge funds, proprietary trading firms, crypto trading teams, technology companies, or independent research backgrounds are encouraged to apply.

Compensation & Working Arrangement

We offer highly competitive compensation, performance-based incentives, and flexible working arrangements. The role may be remote, on-site, or hybrid, depending on the candidate's research focus, location, and collaboration requirements.

Researchers will have access to internal data, research infrastructure, engineering support, and opportunities to work closely with portfolio managers on live trading strategies. Strong researchers may also have the opportunity to take greater strategy ownership over time.