Quantitative Research Analyst

Key Skills

Algorithms, C++, Data Analysis, Data Mining, Design, MATLAB Programming, Python Programming, R Programming

Job Description

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks experienced Quantitative Research Analysts.

As a member of one of Tower’s trading teams, a Quantitative Research Analyst will be using Tower’s in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities

• Designing, implementing, and deploying high-frequency trading algorithms
• Exploring trading ideas by analyzing market data and market micro-structure for patterns
• Creating tools to analyze data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators

Qualifications

• A STEM degree from a top-tier university
• 0-3 years of experience in high-frequency trading
• 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, C++, MATLAB, and R

Benefits

Tower is headquartered in New York City, and has offices around the globe. While we work hard, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

• 5 weeks of paid vacation plus paid holidays
• Free breakfast, lunch, and snacks on a daily basis
• Reimbursement for health and wellness expenses
• Free events and workshops