Overview:
We are working with a leading systematic hedge fund that is looking for a Quantitative Researcher to join a team focused on discovering and capitalizing on short-term trading opportunities in equity markets. This role involves hands-on research, advanced data analysis, and close collaboration with other researchers and technologists to develop and improve systematic trading strategies in the HFT/intraday equities markets.
What You'll Do:
Conduct applied quantitative research to uncover systematic inefficiencies in equities markets
Propose and refine short-horizon alpha signals based on intraday and high-frequency data
Enhance and optimize existing trading strategies
Take part in the full research and development workflow-from data engineering and signal research to backtesting and deployment
Improve research tools and infrastructure to boost team productivity
Contribute to a collaborative team culture with shared ownership of outcomes
What We're Looking For:
A degree (Bachelor's or higher) in a quantitative discipline such as mathematics, statistics, computer science, or related field
At least 3 years of experience researching and developing systematic equity strategies, with a focus on high frequency or intraday signals
Solid understanding of data science techniques, including feature engineering and signal combination
Experience working with large datasets and building scalable research pipelines
Strong coding skills in C++ and Python, with experience working in a Linux-based environment
Familiarity with cloud computing platforms like AWS
Self-starter with strong analytical skills and a drive for ownership
Team-oriented mindset and a passion for collaborative problem-solving
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