Senior Quantitative Researcher - High Frequency Trading
Global Multi-Strategy Investment Firm | Multi-Billion Dollar AUM
A highly regarded Portfolio Manager is building out a new high frequency trading research team and is seeking a Quantitative Researcher to become an early member of the platform. The team is focused on developing and deploying systematic trading strategies across global electronic markets, with an emphasis on owning the full research lifecycle from signal generation to live production trading.
This is a unique opportunity to work in a highly collaborative environment with direct exposure to the PM while helping shape the team's research process, technology stack, and long-term growth trajectory. The ideal candidate is entrepreneurial, technically strong, and excited by the prospect of building scalable trading systems while taking on increasing responsibility as the platform expands.
Role Overview
This role offers the opportunity to take end-to-end ownership of alpha generation, from idea conception and research through production deployment and live performance monitoring.
The successful candidate will operate at the intersection of quantitative research, machine learning, market microstructure, and software engineering, developing and implementing predictive trading signals across high frequency and systematic trading strategies. Researchers are expected to independently source and analyze data, conduct rigorous research, build production-quality models, and work closely with the Portfolio Manager to turn research into live trading opportunities.
Why Join
- Opportunity to join a newly building team and play a meaningful role in shaping its long-term direction
- Work directly alongside an experienced Portfolio Manager in a highly collaborative, research-driven environment
- Significant ownership across the entire research and trading lifecycle, from idea generation to live deployment
- Exposure to cutting-edge research in market microstructure, signal development, and electronic trading
- Access to institutional-grade infrastructure, low-latency technology, and large-scale proprietary datasets
- Opportunity to collaborate closely with technology and trading teams to bring research into production
- Strong career progression path with the ability to grow into senior research, trading, and leadership responsibilities as the platform scales
Key Responsibilities
- Research and develop novel alpha signals utilizing large-scale market, order book, and alternative datasets
- Design and implement predictive models to identify short-term trading opportunities across electronic markets
- Conduct rigorous statistical analysis, hypothesis testing, and large-scale backtesting to evaluate signal efficacy
- Analyze market microstructure dynamics, execution quality, and trading behavior to uncover new sources of alpha
- Take ownership of deploying research into production environments, ensuring robustness, scalability, and reliability
- Build and maintain production-quality data pipelines, research infrastructure, and modeling frameworks
- Monitor live trading performance, perform attribution analysis, and continuously improve deployed signals
- Partner closely with the Portfolio Manager and engineering teams on research prioritization, implementation, and strategy development
- Improve execution frameworks, transaction cost modeling, and overall trading efficiency
- Contribute to the development of a scalable research platform capable of supporting rapid strategy iteration and deployment
Ideal Background
- Demonstrated experience developing systematic trading signals within a high frequency, electronic trading, or quantitative trading environment
- Proven ability to own research projects from initial idea generation through production implementation
- Strong understanding of statistics, machine learning, predictive modeling, and experimental design
- Deep interest in market dynamics, market microstructure, and alpha generation
- Expertise in Python and experience developing production-quality research and trading systems
- Experience working with large datasets and building scalable research infrastructure
- Strong software engineering mindset with a focus on code quality, automation, and maintainability
- Entrepreneurial mentality with a desire to help build and shape a growing research platform
- Advanced degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or a related quantitative discipline preferred
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