Trader

WizardQuant; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

WizardQuant in New York is seeking a talented trader to manage and monitor our automated trading system, ensuring adherence to trading and risk guidelines and handling pre- and post-trade tasks.

The role requires a Bachelor’s or Master’s in math/finance/CS, strong mathematical skills, creative and strategic thinking, and proficiency in Python or similar languages. You will work with brokers, researchers and portfolio managers to optimize strategies and reduce risk.

Qualifications

• Bachelor or Master’s degree in math/finance/computer science or related fields.
• Ability to think creatively and strategically while handling complex issues.
• Self-starter who will energetically advance the team’s business goals.
• Solid mathematical knowledge.
• Proficient in Python or similar programming languages.

Responsibilities

• Manage and monitor our automated trading system to make sure they are well functioning and adherence to our trading and risk guidelines.
• Be on the front line in trading and quickly respond to unusual behaviors or market conditions
• Engage in pre-trade and post-trade tasks including, compliance checks, risk analysis, trade reconciliation, trade confirmation
• Collaborate with brokers or external parties to for the proper execution of strategies
• Conduct analysis on slippage, order flow, and other aspects of trading to drive profitability and efficiency by proposing new trading or analytical tools
• Work with internal researchers and developers for improvements of strategies
• Collaborate with portfolio managers and senior leaders to identify and accelerate any trading and operational risks and issues

Skills

Python

Mathematics

Creative thinking

Self-starter

Education

Bachelor or Master’s degree in math/finance/computer science

Job description

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 talented candidates for our New York office as our team and business continue to grow.

What you’ll do as a trader

• Manage and monitor our automated trading system to make sure they are well functioning and adherence to our trading and risk guidelines.
• Be on the front line in trading and quickly respond to unusual behaviors or market conditions
• Engage in pre-trade and post-trade tasks including, compliance checks, risk analysis, trade reconciliation, trade confirmation
• Collaborate with brokers or external parties to for the proper execution of strategies
• Conduct analysis on slippage, order flow, and other aspects of trading to drive profitability and efficiency by proposing new trading or analytical tools
• Work with internal researchers and developers for improvements of strategies
• Collaborate with portfolio managers and senior leaders to identify and accelerate any trading and operational risks and issues

Qualifications

• Bachelor or Master’s degree in math/finance/computer science or related fields
• Ability to think creatively and strategically while handling complex issues, to work independently and on a flexible schedule
• Self-starter who will energetically advance the team’s business goals
• Solid mathematical knowledge
• Proficient in Python or similar programming languages