Quantitative Researcher

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 deep problem solver who is motivated by unsolved challenges.

Job Responsibilities (including, But Not Limited To, The Following)

• Building algorithmic, computer-driven models
• Conducting research on academic quantitative finance literature
• Exploring and handling data
• Applying an alignment of innovative methods in Applied Mathematics, Computer Science and Financial Economics.

What You'll Bring

• B.Sc. or an advanced degree from a leading university in a quantitative or highly analytical field (e.g. Electrical Engineering, Physics, Computer Science, Mathematics)\
• Ranked in the top 10% of bachelor’s degree class
• Shown ability to program in C/C++ on a Unix/Linux platform is a plus
• Previous experience as a Quant in research focused capacity is a plus
• Excellent problem solving abilities and judgment with a strong attention to detail, creative, self-starter
• Mature, with the ability to operate in a collaborative, team-oriented culture
• Strong English language skills; ability to communicate sophisticated concepts in simple terms