Quantitative Trading Researcher – Systematic Strategies

Referment

New York (NY)

On-site

USD 120,000 - 190,000

Full time

24 hours ago
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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 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.

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