This role offers motivated interns hands-on experience operating and monitoring automated high-frequency trading systems. You'll contribute to maintaining and improving data analysis tools, analyzing market data to explore trading ideas, and testing/deploying models and strategies. This is a unique opportunity to gain insights into a fast-paced, high-stakes industry with potential for full-time employment.
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Quantitative Trader (Intern / Full Time) (Competitive) at Global quantitative trading firm
Quantitative Trader (Intern / Full Time) (Competitive) at Global quantitative trading firm - Quantitative Trader (Intern / Full Time)
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Location
Shanghai, China
Compensation
Competitive
Company
Confidential company
Role overview
About the company
Global quantitative trading firm
What you will do
- Assist in operating and monitoring production trading systems during market hours
- Maintain and improve tools for data analysis
- Analyze market data and execution data to explore trading ideas, test, and deploy models and strategies
Who this is a fit for
- Pursuing or recently completed a degree in a quantitative field (e.g., computer science, engineering, or mathematics)
- Familiarity with Python programming preferred
- Strong numerical, quantitative analysis, and problem-solving skills
Why this role is remarkable
- Gain practical experience and insights into automated high-frequency trading systems
- Exposure to cutting-edge technologies in a fast-paced, high-stakes industry
- Successful completion of the paid internship can lead to full-time employment
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.
