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.
Requirements: 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 bachelors 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
This position is open to all candidates.