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. 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 Research Intern. The person must have a good understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. This position is responsible for assisting with daily research and analysis tasks - which includes scripting for monitoring, portfolio visualization and alpha signal analysis. Candidates need not have prior knowledge of financial markets, but must have a strong interest in learning about stock markets and other capital markets. Successful candidates will self-starters, have a research scientist mind-set, and be creative and persevering deep thinkers who are motivated by unsolved challenges. Our highly accomplished senior staff will provide the interns with mentoring and guidance to help them succeed.
What You'll Bring:
Candidates holding or pursuing a BS (Hons), MS or PhD in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Data Science or Mathematics are strongly preferred
Exceptional candidates without an advanced degree will also be considered. Prior quant analysis or trading experience is a benefit.
Programming skills is a must (Python/ C++/Java)
Have deep learning or prompt engineering course work or experience is a plus
Participated in national and international mathematics or programming competitions (preferred)
What We Offer:
6-month learning and development path - challenge your intellectual mind
Competitive compensation package with clear career road-map - opportunities to transition to a full-time role
Online Medical support
Team building activities every month - employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
Happy-hour with tea break, snacks and meals every day!
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