Python Quantitative Researcher - London- Global Quant Firm
Core
Analyze billions of trading data points to identify competitive edges and develop data mining and machine learning algorithms for a high-frequency trading fund.
Role type
quantitative researcher (HFT)
Builds
trading strategies and data analysis pipelines
Domain
financial services / high-frequency trading
Deliverable
production ML models
Required skills
Python, data science, statistics, machine learning, problem-solving
Preferred skills
C++, SQL, network protocols
Responsibilities
Analyze billions of collected trading data points, perform post-trade statistical analysis, identify relationships between business metrics and infrastructure changes, investigate and design data mining and machine learning algorithms
Seniority
Mid-level, hands-on IC
