Quantitative Trading Researcher

Referment; New York (NY); On-site; USD 100,000 - 180,000; Full time

Job summary

Referment is seeking a quantitative analyst to bridge mathematical modelling, software development and empirical market research for systematic trading research. You will turn ideas into strategies and test them against real-world data, moving between theory, code and evidence with a focus on profitable, lower-risk execution.

The role involves developing models, testing strategies under varying market conditions and writing software to support research, analysis and implementation.

Qualifications

• A strong academic record in mathematics, statistics, physics, engineering, computer science or another highly quantitative discipline.
• Excellent analytical reasoning and the ability to express quantitative ideas precisely.
• Programming ability and an interest in applying mathematical methods to financial markets.
• Curiosity, creativity and the discipline to evaluate your own hypotheses rigorously.

Responsibilities

• Use financial data to investigate opportunities to improve profitability, manage risk and reduce transaction costs.
• Develop statistical models and translate research ideas into systematic trading strategies.
• Test strategies critically, separating durable results from noise and understanding how they behave under different market conditions.
• Write software that supports research, analysis and implementation.

Skills

Mathematics

Statistics

Physics

Engineering

Computer Science

Analytical reasoning

Programming

Curiosity

Education

Bachelor's degree in a quantitative field

Tools

Python

R

Job description

Referment is seeking a quantitative analyst to bridge mathematical modelling, software development and empirical market research for systematic trading research. You will turn ideas into strategies and test them against real-world data, moving between theory, code and evidence with a focus on profitable, lower-risk execution.

The role involves developing models, testing strategies under varying market conditions and writing software to support research, analysis and implementation.