Hybrid Quant Trader & Researcher — High-Freq Algos

Tower Research Capital; Miami (FL); Hybrid; USD 120,000 - 200,000; Full time

Benefits offered by this job

Generous paid time off

Hybrid working opportunities

Wellness programs

Breakfast, lunch and snacks

Office wellness reimbursements

Team sports & events

Volunteer opportunities

Social events & learning

Job summary

Tower Research Capital is a leading quantitative trading firm known for its high-performance platform and independent trading teams. The team develops electronic trading infrastructure with a focus on low-latency programming, FPGA technology, hardware acceleration and machine learning.

The Quantitative Trader / Researcher will design and deploy algorithmic trading strategies using Tower's in-house trading system, exploring market data patterns across high-frequency contexts.

Qualifications

• Bachelors or higher in Mathematics, Statistics, Computer Science, or related STEM field.
• Experience in quantitative trading preferred but not required.
• Strong background in mathematics and statistics.
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, PCA).
• Solid data-mining and analysis skills with large tick datasets.
• Familiarity with signal generation and statistical models.
• Strong programming skills in Python or C++.

Responsibilities

• Design, implement, and deploy trading algorithms.
• Research high- to mid-frequency alphas.
• Analyze market data, market microstructure, and alternative data for patterns.
• Create tools to analyze data and develop data platforms.
• Contribute to libraries of analytical computations to support market data analysis and trading.
• Develop, augment, and calibrate exchange simulators.

Skills

Mathematics and statistics

Back-testing

Data mining

Signal modeling

Python/C++ programming

Quant trading

Education

Bachelor/Master/PhD in Mathematics/Statistics/CS or related STEM

Tools

Python

C++

Job description

Tower Research Capital is a leading quantitative trading firm known for its high-performance platform and independent trading teams. The team develops electronic trading infrastructure with a focus on low-latency programming, FPGA technology, hardware acceleration and machine learning.

The Quantitative Trader / Researcher will design and deploy algorithmic trading strategies using Tower's in-house trading system, exploring market data patterns across high-frequency contexts.