Senior Quantitative Analyst (E25D042)

Referment; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Referment, a global investment and technology firm, seeks a senior quantitative analyst to develop robust quantitative models from market data and contribute research to support real trading decisions in New York.

The role emphasizes turning research into practical models, evaluating costs and high-frequency dynamics, and collaborating with researchers and developers.

Candidates should have a technical degree and a proven track record in quantitative modelling and signal generation.

Qualifications

• Advanced degree with a strong track record in quantitative modelling.
• Proven history of turning quantitative insights into successful trading models.
• Strong numerical, statistical and programming skills for market data signals.
• Excellent communication and collaboration with researchers and developers.
• Experience in transaction cost analysis or high-frequency trading is highly relevant.

Responsibilities

• Research and develop systematic trading signals from market and transaction data.
• Apply numerical and statistical methods to robustly model signals outside development data.
• Evaluate execution costs and high-frequency market dynamics for practical use.
• Lead hands-on research, testing and technical implementation.
• Communicate findings clearly and collaborate with researchers and developers.

Skills

Numerical skills

Statistical analysis

Programming

Education

Technical degree (STEM or related)

Job description

Referment is working with a global investment and technology firm to appoint a senior quantitative analyst within its systematic trading strategies. The mandate is hands-on: develop robust quantitative models from market data and contribute research that can support real trading decisions.

This role is for an established researcher with evidence that their models have worked in practice. Experience in transaction cost analysis or high-frequency trading is particularly relevant, but the central requirement is a rigorous track record of turning quantitative insight into successful models.

The Role

• 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.

What We're Looking For

• 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.
• Innovative analytical thinking, sound research judgment and excellent communication.
• Transaction cost analysis or high-frequency trading experience is highly relevant.

This could suit a senior quant researcher or systematic portfolio researcher who remains close to the data and code and can show measurable success from prior modelling work.

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