Quantitative Researcher
Tower Research Capital
Job highlights
Summary
Join Tower Research Capital, a high-frequency proprietary trading firm, as a Quantitative Researcher Intern in Shanghai. As a member of one of Tower's trading teams, you will develop and deploy algorithmic trading strategies based on patterns in market behavior.
Requirements
- Bachelor’s student
- Majoring in computer science, mathematics, physics, electrical engineering, or related fields
- Seeking a 3-month internship
- Proficient in an object-oriented programming language (C++ and Python preferred)
- A working knowledge of Linux/Unix
- Past industry experience (a plus)
- Experience as a Teaching Assistant and/or participation in relevant Olympiads (a plus)
- Familiarity with machine learning, data analysis, market research and data modeling (a plus)
- Strong problem-solving abilities
- A passion for new technologies and ideas
- The ability to manage multiple tasks in a fast-paced environment
- Strong communication skills
Responsibilities
- Designing, implementing, and deploying high-frequency trading algorithms
- Exploring trading ideas by analyzing market data and market microstructure for patterns
- Creating tools to analyze data for patterns
- Contributing to libraries of analytical computations to support market data analysis and trading
- Developing, augmenting, and calibrating exchange simulators
Benefits
- Competitive salary
- Lunch and snacks on a daily basis
- Free events and workshops
- Opportunities to learn from senior management across the firm
- Mentors from your alma mater and other top institutions
Job description
Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks Quantitative Researcher Interns in Shanghai.
As a member of one of Tower’s trading teams, a Quantitative Researcher Intern will be using Tower’s in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.
Responsibilities:
- Designing, implementing, and deploying high-frequency trading algorithms
- Exploring trading ideas by analyzing market data and market microstructure for patterns
- Creating tools to analyze data for patterns
- Contributing to libraries of analytical computations to support market data analysis and trading
- Developing, augmenting, and calibrating exchange simulators
Who You Are:
You are talented, driven, and hungry for a challenge. You believe that there’s no limit to what we can accomplish together in a creative, collaborative setting which pairs passion with brilliance. If you refuse to settle for a career that offers anything less, we want to meet you!
- Bachelor’s student
- Majoring in computer science, mathematics, physics, electrical engineering, or related fields
- Seeking a 3-month internship
- Proficient in an object-oriented programming language (C++ and Python preferred)
- A working knowledge of Linux/Unix
- Past industry experience (a plus)
- Experience as a Teaching Assistant and/or participation in relevant Olympiads (a plus)
- Familiarity with machine learning, data analysis, market research and data modeling (a plus)
- Strong problem-solving abilities
- A passion for new technologies and ideas
- The ability to manage multiple tasks in a fast-paced environment
- Strong communication skills
Financial experience is not required, but interest in financial markets is a plus.
Benefits:
Tower continues to enhance the in-house trading system and strategies that have positioned the firm as a leader in the thriving field of quantitative trading. While Tower offers challenges and rewards rivaling those of any Wall Street firm, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:
- Competitive salary
- Lunch and snacks on a daily basis
- Free events and workshops
- Opportunities to learn from senior management across the firm
- Mentors from your alma mater and other top institutions
Tower Research Capital is an equal opportunity employer.
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