Quant Researcher/Trader Delta One build at leading prop shop
Listed on 2026-02-12
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Finance & Banking
Data Scientist, Financial Consultant, FinTech
Quant Researcher / Quant Trader – Equities & Delta-One (Intraday Alpha)
Location:
Chicago / New York
A leading global market-making and proprietary trading firm is expanding its Equities and Delta-One trading platform and is seeking Quant Researchers and Quant Traders to help build the next generation of intraday and short-horizon alpha strategies.
This is a rare opportunity to join a firm with world-class execution, data, and infrastructure as it builds out a new systematic equities franchise focused on high-turnover, highly scalable strategies.
The PositionYou will work on the full lifecycle of systematic equities and delta-one strategies, from alpha research through to live trading and execution. The focus is on intraday trading, with the flexibility to run strategies that extend to daily holding periods where the signal supports it.
You will be part of a highly technical team operating in an environment where research, execution, and risk are tightly integrated, allowing strong ideas to be rapidly deployed at scale.
Responsibilities- Research and develop systematic alpha strategies across cash equities, equity futures, ETFs, and other delta-one instruments.
- Work with high-frequency and intraday data to identify short-term inefficiencies in price, liquidity, and order flow.
- Build and maintain robust backtesting and signal evaluation frameworks with realistic transaction cost and slippage modeling.
- Collaborate closely with execution and engineering teams to ensure strategies are implemented efficiently in production.
- Monitor live trading performance, conduct post-trade analysis, and continuously refine models based on market behavior.
- Contribute to the build-out of a new equities and delta-one trading platform inside a top-tier market-making firm.
- Experience as a Quant Researcher, Quant Trader, or Systematic Trader in equities, futures, or delta-one products.
- Strong understanding of market microstructure, intraday dynamics, and execution costs.
- Proven ability to research and deploy short-horizon trading signals (intraday to 1-day holding periods).
- Strong programming skills in Python, or C++.
- Solid background in statistics, machine learning, or quantitative modeling.
- Ability to work in a fast-moving, performance-driven trading environment.
- Build and shape a new equities and delta-one trading business inside a world-class market-making platform.
- Access to best-in-class data, technology, and execution infrastructure.
- Highly competitive compensation with direct upside from strategy performance.
- Opportunity to work on high-impact, high-turnover strategies with real scalability.
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