Equity Auctions Quantitative Researcher
Role Overview:
A Tier-One Fund is looking for an experienced Equity Auctions Quantitative Researcher to contribute to the design, development, and execution of systematic equity strategies. The ideal candidate will have a proven track record of alpha generation and risk-adjusted returns, with extensive knowledge in equity auctions (open/close) markets and strong programming skills.
Key Responsibilities:
- Research, develop, and implement systematic trading strategies across various equity auctions markets
- Conduct alpha signal research using statistical and machine learning,
- Manage portfolio construction, execution, and risk management processes
- Collaborate with quantitative researchers, data engineers, and technologists to bring strategies into production
- Monitor and refine strategies based on performance and market conditions
Requirements:
- 3+ years of experience in quantitative research within equity auctions (open or close)
- Deep understanding of auction markets and trading instruments
- Advanced programming skills in Python and/or C++
- Experience with back-testing frameworks and large-scale data analysis
- Degree (Master's or PhD preferred) in a quantitative field such as Mathematics, Physics, Computer Science, or Engineering
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