Senior Quantitative Researcher/Portfolio Manager

WizardQuant is a quantitative hedge fund that was established in early 2014 by Wall Street veterans. The company focuses on the multi-strategy, and high-capacity quantitative investment, including stocks, ETF, futures and options.

WizardQuant organically integrates technology and finance, focusing on the cutting-edge quantitative research. Relying on a remarkably keen insight of the professional team, a strong research platform, and a top-notch information technology infrastructure, the company captures the most transient market volatility and builds best models to extract innermost market rules to achieve long-term stable absolute return.

The company has made considerable development in the past few year, in terms of asset under management, development of innovative trading strategies and team building. With over 140 employees, it has offices in New York, Shanghai, Beijing, and Shenzhen.

We are seeking experienced candidates with expertise in equities/futures for our New York office as our team continues to grow. And we offer opportunities in 3 directions: equity statistical arbitrage, CTA and HFT.

Qualifications

• 3+ years of prior work experience in a quantitative trading firm/hedge fund is required
• Degree in a quantitative or technical discipline (e.g., statistics, computer science, physics, mathematics, operations research)
• Demonstrated ability to conduct research using enormous real-world datasets
• Strong programming skills in Python/R/MATLAB. Experience with C++ is a plus
• Fluent in Mandarin
• Collaborative mindset with strong independent research ability
• Exceptional attention to detail and desire to understand issues deeply

Apart from senior quantitative researcher, we also offer portfolio manager opportunities.

If you are interested in being considered for a senior quantitative researcher or portfolio manager position with us, please email hr@wizardquant.com. In order to be considered, PM candidates should have a track record of experience running an autonomous strategy in their current or previous roles.