Quantitative Trader

Venture Search; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Venture Search is partnering with a Tier 1 trading firm to hire a Quantitative Trader or Researcher for its Fixed Income ETF team in New York.

This role involves developing models, researching market behaviour, and building tools to drive live trading and strategy improvements in a fast-paced front-office environment.

Qualifications

• Master's or PhD in a highly quantitative discipline.
• 3+ years' experience in quantitative trading/research in prop trading, market making, hedge funds, or systematic trading.
• Strong Python programming skills and solid statistical modelling foundations.
• Experience handling large datasets and building quantitative research workflows.
• Excellent analytical, detail-oriented, and market enthusiasm, especially for ETFs.

Responsibilities

• Develop and enhance quantitative models for ETF trading strategies.
• Research market behavior and identify opportunities via statistical analysis.
• Analyze large datasets to uncover patterns and improve trading performance.
• Build tools and infrastructure to support strategy development.
• Collaborate with traders and tech teams to productionize research.

Skills

Python

Statistics

Quantitative research

Data analysis

Front-office trading

Education

Master's or PhD in Mathematics, Statistics, Computer Science, Engineering, or Physics

Tools

Python

Pandas

NumPy

SQL

Job description

Venture Search is partnered with a Tier 1 proprietary trading firm looking to hire a Quantitative Trader or Researcher to join its Fixed Income ETF trading team in New York.

This is a front-office opportunity to work alongside experienced traders and engineers, developing quantitative models and research that directly influences live trading. You'll play a key role in identifying new opportunities, enhancing existing strategies, and contributing to the continued growth of a high-performing trading business.

The Role

• Develop and enhance quantitative models supporting ETF trading strategies.
• Research market behaviour and identify new trading opportunities through statistical analysis.
• Analyse large market datasets to uncover patterns and improve trading performance.
• Build research tools and infrastructure to support strategy development.
• Partner closely with traders and technology teams to implement research into production.
• Monitor, evaluate and refine models as market conditions evolve.
• Generate and test new quantitative research ideas with direct commercial impact.

Requirements

• Master's or PhD in Mathematics, Statistics, Computer Science, Engineering, Physics, or another highly quantitative discipline.
• 3+ years' experience in quantitative trading / research within proprietary trading, market making, hedge funds, or systematic trading.
• Strong Python programming skills and a solid foundation in statistical modelling.
• Experience working with large datasets and developing quantitative research workflows.
• Strong analytical and problem-solving skills with excellent attention to detail.
• A genuine interest in financial markets, particularly ETFs and systematic trading.
• Comfortable working in a fast-paced, collaborative front-office environment.