Quantitative Researcher, Single-Stock Volatility & Alpha

Walleye Capital Internships; Miami (FL); On-site; USD 90,000 - 150,000; Full time

Job summary

Walleye Capital in Miami seeks a Quantitative Researcher to join the Single Stock Volatility team. You will research, develop, and automate alpha-generating trading strategies, build and maintain proprietary datasets, and work with Portfolio Managers and Technology teams to implement models.

Ideal candidates have strong statistical, analytical, and modeling skills with Python and a passion for quantitative research and systematic investing.

Qualifications

• Proficiency in Python and statistical modeling of financial time series.
• Basic understanding of equities and options.
• Bachelor’s or advanced degree in Mathematics, Computer Science, Engineering, or another quantitative discipline.
• Open to new graduates and candidates with up to two years of relevant experience.
• Strong communication skills with the ability to clearly present research findings and collaborate across teams.

Responsibilities

• Research, develop, and automate alpha-generating trading strategies alongside the Portfolio Manager and quantitative researchers.
• Build and maintain proprietary datasets for research and model development.
• Develop predictive models across short-, medium-, and long-term horizons using statistical and machine learning techniques.
• Build portfolio optimization tools to monetize trading signals and manage risk.
• Partner with technology teams to automate strategy execution.

Skills

Python

Statistical modeling

Quantitative research

Communication skills

Attention to detail

Education

Mathematics / Computer Science / Engineering degree

Job description

Walleye Capital in Miami seeks a Quantitative Researcher to join the Single Stock Volatility team. You will research, develop, and automate alpha-generating trading strategies, build and maintain proprietary datasets, and work with Portfolio Managers and Technology teams to implement models.

Ideal candidates have strong statistical, analytical, and modeling skills with Python and a passion for quantitative research and systematic investing.