quantitative trader

Responsibilities

Designing, implementing and deploying trading algorithms
Researching high to mid frequency alphas
Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns
Creating tools to analyze data for patterns and developing data platforms
Contributing to libraries of analytical computations to support market data analysis and trading
Developing, augmenting and calibrating exchange simulators

Qualifications

A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
Experience in quantitative trading is preferred but not a requirement
A strong background in mathematics and statistics
Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation and Principal Component Analysis)
Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
Familiarity with signal generation and statistical models
Strong programming skills in Python or C++