Quantitative Analyst (DB41107)

Referment; New York (NY); On-site; USD 90,000 - 140,000; Full time

Job summary

Referment is seeking a quantitative analyst to work on systematic trading research, combining mathematical modelling, data analysis and software development.

You will turn ideas into testable strategies using real-world data, applying rigorous empirical methods and coding to implement research into actionable insights.

The role suits someone who enjoys moving between theory, code and evidence, with opportunities to influence research directions and execution in a fast‑paced environment.

Qualifications

• Strong academic record in a highly quantitative field.
• Excellent analytical reasoning and the ability to express quantitative ideas precisely.
• Programming experience and an interest in applying mathematical methods to financial markets.
• Curiosity and discipline to evaluate 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 reasoning

Programming ability

Quantitative methods

Education

Quantitative discipline

Job description

Referment is working with a global investment and technology firm to find a quantitative analyst for its systematic trading research. This role combines mathematical modelling, software development and empirical market research, giving you responsibility for turning ideas into strategies that can be tested against real-world data.

You will work on problems where better signals, lower risk and more efficient execution all matter. The remit is suited to someone who enjoys moving between theory, code and evidence rather than treating them as separate disciplines.

The Role

• 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.

What We're Looking For

• 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.

This could suit a recent graduate or early-career researcher with exceptional quantitative foundations who wants to work across modelling, coding and systematic investing.

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