Quantitative Researcher

MiddleRemoteSalary undisclosed
Required Skills
Python
Job Description

Company Overview

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.

Job Overview

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 monetise 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 robus

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