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Quantitative Researcher

Quantitative Researcher
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on exploiting market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant’s success is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. That’s a key ingredient in remaining a leader in any industry.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Our collective intelligence will drive us there.
The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.
WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process, utilizing various techniques like statistical analysis, mathematical modeling, machine learning or others to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.
What You’ll Bring:
  • B.S. degree or above from a leading university in a quantitative or highly analytical field (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data)
  • Demonstrated ability to program in C/C++ or python on a Unix/Linux platform
  • Excellent problem-solving abilities and judgment with a strong attention to detail
  • Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture
  • Research scientist mindset; a self-motivator, a creative and persevering deep thinker
  • Proficient English-language skills
Position is based in one of our research offices located in Beijing or Shanghai.
Interested and qualified candidates can email their CV in ENGLISH as well as a transcript of their Bachelor’s degree to ONE of the below email addresses:
(If you are currently residing in Hong Kong) WQHKQuantJobs@worldquant.com
(If you are currently residing in Shanghai) WQSHQuantJobs@worldquant.com
(If you are currently residing in Beijing or other cities) WQBJQuantJobs@worldquant.com
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CEO of WorldQuant
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Igor Tulchinsky
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WorldQuant is a global quantitative asset management firm with over $7 billion in assets under management. Founded in 2007 by Igor Tulchinsky with the belief that talent is global, but opportunity is not, WorldQuant has more than 1,000 employees s...

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DATE POSTED
August 4, 2023

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