Quantitative Analyst (B411072)

Referment; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Referment is partnering with a global investment and technology firm to hire a quantitative analyst for systematic trading research. The role blends mathematical modelling, software development and empirical market study to turn ideas into testable strategies.

You will work with financial data to identify profitability opportunities, develop statistical models, and write software that supports research and implementation across trading cycles.

Qualifications

• Strong academic record in mathematics, statistics, physics, engineering or related quantitative field.
• Excellent analytical reasoning and precise communication of quantitative ideas.

Responsibilities

• Use financial data to identify opportunities to improve profitability and manage risk.
• Develop statistical models and translate ideas into systematic trading strategies.
• Test strategies rigorously and understand behavior under different market conditions.
• Write software to support research, analysis and implementation.

Skills

Mathematics

Statistics

Programming

Financial modelling

Education

Bachelor's degree in a quantitative field

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.

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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