Quantitative Trader - Volatility & Systematic Trading

Walleyecapital External Fulltime; New York (NY); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Competitive bonus

Comprehensive benefits package

Job summary

Walleye Capital in New York is seeking a Quantitative Trader to join an Index Volatility team in an apprenticeship‑style seat, working with a Volatility Portfolio Manager and close partners in Quantitative Research and Technology to research, develop, and automate alpha‑generating trading strategies.

The ideal candidate will have strong statistical, analytical, and modeling skills, experience with Python, and a passion for systematic investing.

Qualifications

• Proficiency in statistical analysis and modeling of time series financial data.
• Solid understanding of options and volatility concepts.
• Experience performing quantitative research or trading preferred.
• Strong communication and collaboration skills.
• Interest in discretionary trading alongside quantitative research.

Responsibilities

• Work directly with portfolio manager to research, design, and automate alpha-generating strategies across volatility markets
• Manipulate proprietary and public data to build custom datasets for research, signal development, and daily trading
• Build predictive models of volatility surfaces and asset prices across short, medium, and long-term horizons using regression and machine learning techniques
• Partner with portfolio manager on live trading, risk, and positioning decisions, developing discretionary judgement alongside systematic research
• Assume increasing autonomy over time, with a path to operating a secondary book and direct risk-taking responsibility

Skills

Python

Statistical analysis

Time series modeling

Volatility concepts

Communication skills

Tools

Python (NumPy/Pandas)

SQL

Job description

Walleye Capital in New York is seeking a Quantitative Trader to join an Index Volatility team in an apprenticeship‑style seat, working with a Volatility Portfolio Manager and close partners in Quantitative Research and Technology to research, develop, and automate alpha‑generating trading strategies.

The ideal candidate will have strong statistical, analytical, and modeling skills, experience with Python, and a passion for systematic investing.