Senior Quantitative Trader & Model Architect

Referment; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

Referment is seeking a senior quantitative analyst to advance its systematic trading strategies. You will turn market data and research into robust signals that can drive live trading decisions.

The role is hands-on, requiring strong numerical and programming skills, with experience in transaction cost analysis or high-frequency trading considered highly relevant. You will collaborate closely with researchers and developers to test ideas and communicate findings clearly.

Qualifications

• A technical degree and an outstanding academic and professional record.
• A demonstrated history of developing successful quantitative models.
• Strong numerical, statistical and programming skills for extracting reliable signals from market data.
• Transaction cost analysis or high-frequency trading experience is highly relevant.

Responsibilities

• Research and develop systematic trading signals using market and transaction data.
• Apply numerical and statistical methods to build models that remain robust outside the development sample.
• Evaluate implementation constraints, including execution costs and high-frequency market behaviour.
• Take a hands‑on role in research, testing and technical implementation.
• Communicate findings clearly and collaborate with quantitative researchers and developers.

Skills

Quantitative modeling

Statistical analysis

Programming

Research experience

Education

Bachelor's degree in a technical field

Job description

Referment is seeking a senior quantitative analyst to advance its systematic trading strategies. You will turn market data and research into robust signals that can drive live trading decisions.

The role is hands-on, requiring strong numerical and programming skills, with experience in transaction cost analysis or high-frequency trading considered highly relevant. You will collaborate closely with researchers and developers to test ideas and communicate findings clearly.