Quantitative Researcher: Data-Driven Trading Strategies

Quadeye; New York (NY); Hybrid; USD 120,000 - 200,000; Full time

Job summary

Quadeye is seeking a Quantitative Researcher to develop data-driven trading strategies for US markets. You will analyze large-scale datasets, generate predictive signals, and apply quantitative techniques to identify trading opportunities with end-to-end ownership from research to implementation.

Collaborate with researchers, traders, and engineers to test, refine strategies and translate research ideas into scalable live trading systems in a fast-paced, research-driven environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative discipline.
• Strong quantitative aptitude and problem-solving skills.
• Solid understanding of probability, statistics, and data analysis.
• Experience programming in Python; knowledge of C++ is a plus.
• Strong understanding of data structures and algorithms.
• Experience working in Linux/Unix environments.
• Ability to work independently in a fast-paced, research-driven environment.
• Strong communication skills and ownership.

Responsibilities

• Research and develop quantitative trading strategies for US financial markets.
• Analyze large-scale financial datasets to identify patterns and opportunities.
• Develop, test, and evaluate predictive signals using statistical methods.
• Build robust research frameworks and translate ideas into scalable trading strategies.
• Analyze strategy performance and iterate to improve accuracy and performance.
• Collaborate with researchers, traders, and engineers to deploy new strategies.

Skills

Python

C++

Data structures

Algorithms

Statistics

Education

Bachelor's or Master's in CS/Math/Stats

Tools

Linux

Job description

Quadeye is seeking a Quantitative Researcher to develop data-driven trading strategies for US markets. You will analyze large-scale datasets, generate predictive signals, and apply quantitative techniques to identify trading opportunities with end-to-end ownership from research to implementation.

Collaborate with researchers, traders, and engineers to test, refine strategies and translate research ideas into scalable live trading systems in a fast-paced, research-driven environment.