Cubist Quantitative Researcher
At a glance
Mid-level Data Science role at Point72. Dubai · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Develop original alpha signals and use predictive models to investigate quantitative trading ideas
- Review current academic work and assess what its findings suggest for your research
- Take research ideas through data analysis, hypothesis tests, signal discovery, backtesting and portfolio review
- Build analytical tools that extend the team’s shared research framework
What you bring
- A bachelor’s, master’s or doctoral degree in a quantitative subject such as finance, mathematics or data science
- You can program in Python or a comparable language and have working knowledge of SQL
- You bring strong quantitative judgment, take responsibility for your work and can deliver careful results on time
Who this fits
This entry-level role suits someone looking to learn systematic trading, from generating ideas through practical trading decisions. You’ll work independently as well as with a research team. The listed locations are Dubai and Hong Kong.
From the employer
ABOUT CUBIST
Cubist Systematic Strategies, an affiliate of Point72, 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.
ROLE
Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.
RESPONSIBILITIES
- Conduct original quantitative alpha signal research
- Follow, digest and analyze the latest academic research
- Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
- Build analytical tools to supplement our shared research framework
REQUIRMENTS
- B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
- Programming in Python (or comparable language) and working knowledge of SQL
- Strong analytical and quantitative skills.
- Willingness to take ownership of his/her work.
- Ability to work both independently and collaboratively within a team.
- Strong desire to deliver high quality results in a timely fashion.
- Detail-oriented.
- Prior experience in the financial services industry is not required.
- A commitment to the highest ethical standards.
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