Quantitative Researcher: High-Freq Equity & Options

Fintal Partners; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

A global trading organization in Chicago is seeking experienced quantitative researchers to develop high-frequency trading strategies and predictive models. This core role involves analyzing existing models, conducting large-scale data analysis, and collaborating closely with engineers to rapidly implement ideas into production. Candidates should have over 3 years of experience in quantitative research, strong programming skills in Python, and a solid academic background in relevant fields. A commitment to innovation and collaborative working is essential.

Qualifications

• 3+ years of experience as a quantitative researcher in equities and/or equity options.
• Demonstrated experience in equity signal generation and predictive modeling.
• Solid programming skills and experience working with large market datasets.
• Experience in automated or high-frequency trading environments is preferred.

Responsibilities

• Analyze and improve existing models and algorithms.
• Develop and monetize equity and options signals through research.
• Rapidly research and test new algorithmic ideas primarily in Python.
• Partner with engineers to implement strategies for live trading.
• Take ownership of ideas through to full-scale production deployment.

Skills

Quantitative research

Data analysis

Python programming

Predictive modeling

Analytical thinking

Education

Graduate or postgraduate in mathematics, science, financial engineering, or computer science

Job description

A global trading organization in Chicago is seeking experienced quantitative researchers to develop high-frequency trading strategies and predictive models. This core role involves analyzing existing models, conducting large-scale data analysis, and collaborating closely with engineers to rapidly implement ideas into production. Candidates should have over 3 years of experience in quantitative research, strong programming skills in Python, and a solid academic background in relevant fields. A commitment to innovation and collaborative working is essential.