Quantitative Trader / Researcher - US

New York, Chicago, Charleston, Las Vegas, Miami. Posted 2 months ago

The role

A Quantitative Trader / Researcher will use Tower's in-house trading system to develop and deploy algorithmic trading strategies based on patterns in market behavior.

What you will do

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

Required qualifications

A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
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++

Nice to have

Experience in quantitative trading is preferred

Benefits

Generous paid time off policies
Savings plans and other financial wellness tools available in each region
Hybrid working opportunities
Free breakfast, lunch, and snacks daily
In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
Volunteer opportunities and charitable giving
Social events, happy hours, treats, and celebrations throughout the year
Workshops and continuous learning opportunities

About the company

Tower Research Capital is a leading quantitative trading firm founded in 1998. The firm has built its business on a high-performance platform and independent trading teams.