💼 Job

Entry-Level Quantitative Researcher

Point72

•

30d ago

💼 Graduate Job

London

Rolling basis

Description

Cubist Systematic Strategies is one of the world’s premier investment firms. The Firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Area of Responsibilities

Research & Development

Responsibilities

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

Requirements

Undergrad, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative disciplineStrong analytical and quantitative skillsDemonstrated ability to conduct independent research utilizing large data setsPrior experience developing, researching, or implementing quantitative models for equities, futures, and/or FX, either at a firm or independentlyProgramming in any of the following: C++, Java, C#, MATLAB, R, Python, or PerlDetail-orientedWilling to take ownership of his/her work, working both independently and within a small teamWe’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

Education requirements

Masters

Bachelors

Doctorate