Requirements
Candidates must possess a B.S., M.S., or PhD in a quantitative discipline such as finance, economics, mathematics, statistics, data science, or computer science. Proficiency in Python (or a comparable language) and working knowledge of SQL are required, along with strong analytical and quantitative skills. The role also requires a willingness to take ownership, ability to work independently and collaboratively, a strong desire to deliver high-quality results in a timely fashion, and a detail-oriented approach. Prior experience in financial services is not a prerequisite, but a commitment to the highest ethical standards is essential.
Description
Job description / Role
Job Type
Full Time
Job Location
Dubai, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Finance, Business Analysis & Consulting
Company Industry
Finance, Investment & Asset Management
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
Requirements
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 or 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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