Quantitative Researcher

Quantitative Researcher

hermeneutic research is a best-in-class proprietary trading firm. It deploys research-driven discretionary and systematic strategies as well as makes strategic long-term investments. The partners' decade-long history of success in trading and business building and a firm-wide cultural emphasis on alpha generation, open debate, relentless iteration, and teamwork are key to the firm's continued expansion in a challenging market environment that has hamstrung competitors. A hard-wired emphasis on risk management and opportunistic market participation ensures that hermeneutic research will continue its growth trajectory in the coming decades.

As a Quantitative Researcher at hermeneutic research, you will develop and improve systematic trading strategies across digital asset markets.

You will work across the full research lifecycle: identifying market inefficiencies, developing hypotheses, analyzing large-scale market data, building predictive signals and trading models, designing robust backtests, and helping to monetize successful research and improve firm-wide execution quality.

This role will be grounded in real market behavior and production trading data. You will work extensively with tick market data, order book and trade data, execution data, and portfolio-level performance to identify market inefficiencies, test hypotheses, and determine whether observed patterns are robust and tradable.

You will join a team with high-frequency/systematic trading and market making background, whose strategies that naturally enable improvement of firm-wide execution quality. You will collaborate closely with traders, quantitative researchers, and engineers while retaining significant ownership of your own research. Successful researchers are expected not only to develop sophisticated models, but also to identify the questions that matter, design rigorous experiments, challenge assumptions, and translate findings into economically meaningful improvements to live trading.

This is an opportunity for a strong quantitative researcher to work in a highly collaborative environment with access to substantial data, technology and trading infrastructure.

Key responsibilities include:

• Research, develop and optimize systematic trading strategies and signals across digital asset markets.
• Analyze high-frequency market data, including trades, order books, derivatives data, and cross-venue market activity, to identify exploitable market structure and behavioral patterns.
• Formulate research hypotheses and design statistically rigorous experiments to evaluate them.
• Build robust backtesting and simulation frameworks while carefully accounting for transaction costs, market impact, latency, liquidity, and other real-world trading constraints.
• Research market microstructure, liquidity dynamics, price formation, execution behavior, and short-horizon alpha.
• Develop quantitative models for signal generation, execution, portfolio construction, and risk management.
• Evaluate existing strategies and identify opportunities to improve alpha, execution quality and robustness.
• Work closely with engineers to translate successful research into reliable production trading systems.
• Monitor live strategy performance and investigate discrepancies between research, simulation, and production results.
• Continuously improve research methodologies, datasets, tooling, and experimental standards across the quantitative research process.