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 market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant 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.

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.

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 Researcher. The person must have a strong understanding of the investment research process 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. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering problem solver who is motivated by unsolved challenges.

What You’ll Bring:

Degree (BEng, MSc and PhD) from a top university in a field, such as: Mathematics, Computer Science, Physics, Electrical engineering or equivalent

High GPA and academic grades

Research mentality: deep thinker, creative, strong work ethic, persevering, smart & a self-starter

Programming skills – C++ and Python predominantly, but newer skills welcomed too

Strong interest in learning about worldwide financial markets

Strong communication skills in English – including both written and verbal

As a plus:

While not required, a strong interest in financial markets will definitely be beneficial. Prior experience in quant research will count as a big plus

Strong record of research achievement – examples include scientific publications, conference presentations, grants or industry awards

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