Quantitative Researcher | Global Fund
Quantitative Researcher | Global Investment Fund
About the Role
We are partnering with a leading global hedge fund to hire a Quantitative Researcher. This role sits within a systematic investment team and focuses on alpha research, signal development, and strategy implementation across global markets.
You will work closely with Portfolio Managers, traders, and data teams to develop and deploy scalable, data-driven investment strategies.
Key Responsibilities
Alpha Research & Signal Generation
- Conduct research to identify and develop predictive signals across asset classes (equities, futures, macro, or cross-asset)
- Explore market inefficiencies using statistical modeling, machine learning, and data analysis
Strategy Development & Backtesting
- Design, implement, and rigorously backtest systematic trading strategies
- Evaluate strategy robustness through validation frameworks and risk analysis
Data Analysis & Infrastructure
- Work with large, complex datasets (market data, alternative data, fundamental data)
- Build and maintain efficient research pipelines and analytical tools
Execution & Collaboration
- Partner with Portfolio Managers and traders to translate research into live strategies
- Contribute to execution optimization and portfolio construction
Model Monitoring & Enhancement
- Monitor live strategies, analyze performance, and refine models based on PnL attribution
- Continuously improve research methodologies and production processes
Requirements
Education
- Bachelor's, Master's, or PhD in a quantitative discipline (Mathematics, Statistics, Physics, Computer Science, Engineering, or similar)
Experience
- 1-5+ years of experience in quantitative research, systematic trading, or related roles
- Track record of developing or contributing to systematic strategies is preferred
Technical Skills
- Strong programming skills in Python (C++/Java a plus)
- Experience with data analysis libraries (NumPy, Pandas, etc.) and large-scale datasets
- Familiarity with machine learning techniques and statistical modeling
Investment Knowledge
- Understanding of financial markets, asset classes, and systematic trading concepts
- Exposure to portfolio construction, risk management, or execution is a plus
Soft Skills
- Strong problem-solving ability and intellectual curiosity
- Ability to communicate complex ideas clearly and work in a collaborative environment
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