eFX Quantitative Analyst
Core
Develop and enhance automated trading strategies for electronic FX benchmark execution and risk hedging using high-frequency market data.
Role type
Quantitative Analyst (eFX Benchmark)
Builds
Automated trading strategies and risk hedging solutions for client FX benchmark orders
Domain
Financial Markets / Electronic FX Trading
Deliverable
production ML models
Required skills
Statistics, optimization, machine learning, Python, C++/Java, high-frequency data analysis, backtesting, Git
Preferred skills
PhD in quantitative discipline, eFX trading experience, AI-assisted coding tools
Technologies
Python, MATLAB, Java, C++, Git
Responsibilities
Develop automated strategies for benchmark execution and electronic risk hedging; analyze large complex datasets to derive practical insights; collaborate with researchers, developers, traders, and risk teams; implement signals using high-frequency asynchronous tick data.
Seniority
Mid-level (2-3 years experience required)