Quantitative Analyst: Systematic Trading & Modeling

Referment; New York (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

Referment is seeking a quantitative analyst to join its systematic trading research team. The role blends mathematical modelling, software development and empirical market research, turning ideas into data-tested strategies. You will work across theory, code and evidence to optimize signals, risk, and execution.

The ideal candidate has a strong quantitative background, programming ability and curiosity to rigorously test hypotheses across market regimes.

Qualifications

• 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

Analytical thinking

Programming

Quantitative modelling

Empirical research

Education

Bachelor's degree or higher in mathematics or quantitative field

Job description

Referment is seeking a quantitative analyst to join its systematic trading research team. The role blends mathematical modelling, software development and empirical market research, turning ideas into data-tested strategies. You will work across theory, code and evidence to optimize signals, risk, and execution.

The ideal candidate has a strong quantitative background, programming ability and curiosity to rigorously test hypotheses across market regimes.