Quantitative Researcher

Responsibilities: Identify and execute complex investment strategies on listed equity
markets across the globe; work closely with the QR leadership and other functional teams
to develop and test highly automated quantitative trading strategies using sophisticated
quantitative techniques; responsible for leveraging financial data in an effort to increase
profitability, decrease risk and reduce transaction costs to conceiving new trading ideas,
formulating them into systematic strategies and critically evaluating their performance.
Up to 50% working from home allowed. Must live within commuting distance of office.

Requirements:

Bachelor’s degree in Statistics with Computer Science or related field
6 months of related experience
Any amount of experience designing, developing, and implementing machine
learning algorithms to make predictions on large-scale datasets
Any amount of experience designing and conducting statistical tests to assess the
impact of a proposed change to machine learning algorithms
Any amount of experience using version control and software development
collaboration tools to manage code changes
Any amount of experience writing and maintaining software system for making real-
time predictions from machine learning models