Senior Quant Researcher - Equity Mid/Low Frequency
Core
Research and implement automated trading strategies for equity mid/low frequency markets using advanced statistical methods.
Role type
Senior Quantitative Researcher (Equities)
Builds
Automated trading strategies for equity markets
Domain
Financial services / Quantitative trading
Deliverable
production ML models
Required skills
Advanced statistical methods, Market structure analysis, Long-term strategy execution, C++/Java/Python programming, Quantitative background (Math/Stats/Econometrics/FinEng/OR/CS/Physics)
Preferred skills
Proven track record of successful long-term equity strategies
Technologies
C++, Java, Python
Responsibilities
Research and implement trading ideas within automated framework, Analyze large datasets to identify opportunities, Monitor strategy behavior and performance during market hours, Ensure data and processes are ready before market open
Seniority
Senior, hands-on IC