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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 ensure that hermeneutic research will continue its growth trajectory in the coming decades.
We are seeking a Senior Event-Driven Researcher to strengthen the firm’s ability to interpret complex, fast-moving situations inside crypto markets.
The role focuses on crypto-native event catalysts—regulatory developments, protocol governance, token unlocks, and special situations—and translating them into actionable insight and tradeable opportunities.
You’ll research and synthesize fragmented and evolving information into a coherent view of what matters, what does not, and how it should inform positioning and risk for the firm.
This role sits within a best-in-class crypto research operation, where research directly informs decision-making and ideas are rigorously challenged and debated.
You'll work alongside on-chain and real-time intelligence teams, with access to unique data sources and proprietary tooling that most crypto firms don't have.
Key Responsibilities
Requirements
Backgrounds that tend to translate well include roles in macro, EM, FX, commodities, event-driven or special situations research, and other environments where information flow, positioning, and timing are central.
Backgrounds that tend to be a weaker fit include highly systematic or delta-neutral strategies, and roles focused primarily on long-only fundamental analysis rather than events and decision-making under uncertainty.
Throughout the process, you'll be assessed for cultural fit through our company values:
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