Quantitative Analyst (411072A)

Referment; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Stock option plans

Job summary

Referment is seeking a quantitative analyst to join its systematic trading research team in a role that blends mathematical modelling, software development and empirical market analysis.

The position involves turning ideas into testable strategies, using financial data to improve profitability, manage risk, and reduce costs, while developing statistical models and robust trading algorithms. You will also write software to support research and implementation.

Qualifications

• Strong academic record in math, stats, physics, engineering, CS or another quantitative field.
• Excellent analytical reasoning and ability to express quantitative ideas precisely.
• Programming ability and interest in applying math methods to financial markets.
• Curiosity, creativity and discipline to evaluate own hypotheses.

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

Quantitative analysis

Statistical methods

Programming

Analytical thinking

Education

Bachelor's degree in Mathematics/Statistics/Physics/Engineering/CS

Tools

Python

R

Matlab/Julia

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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