Remote Quantitative Trader Researcher

Summary

Join Tower Research Capital, a high-frequency proprietary trading firm, as a Quantitative Trader / Researcher and utilize the in-house trading system to develop and deploy algorithmic trading strategies.

Requirements

• 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++

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

Benefits

• Competitive salary and discretionary bonuses
• 5 weeks of paid vacation per year
• Meals and snacks on a daily basis
• Medical insurance
• Gym membership allowance
• Free events and workshops
• Donation matching program