Founded in 2014, WizardQuant is a quantitative hedge fund with a presence in Shanghai, Beijing, Shenzhen, Hong Kong, and New York. With a vision to be the foremost investment team globally, the firm has continually evolved since its inception.

Harnessing advanced research methodologies, cutting-edge trading technologies, and an integrated trading system, WizardQuant consistently achieves sustainable profitability across diverse financial markets, including futures, stocks, options, and other instruments.

Our commitment to excellence has fueled a culture of innovation, creating a dynamic environment for our dedicated professionals. At WizardQuant, we are always eager to welcome like-minded individuals who share our passion for pushing the boundaries of quantitative finance and contributing to our ongoing success. More information can be found on www.wizardquant.com.

We are seeking experienced candidates for our New York office as our team continues to grow.

What you’ll do as a senior quantitative researcher

• Conduct research and analyze a large variety of data sets to generate alphas, and evaluate their marginal effectiveness
• Develop profitable predictive trading models, and contribute to portfolio optimization
• Utilize new data sets to develop new strategies
• Collaborate closely with quantitative developers to drive productivity

Qualifications

• 2+ 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
• 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 apply on LinkedIn or email [email protected]. In order to be considered, PM candidates should have a track record of experience running an autonomous strategy in their current or previous roles.