Entry-Level Quantitative Researcher: Predictive Alpha

Point72; Dubai; On-site; AED 180,000 - 280,000; Full time

Job summary

Cubist Systematic Strategies, an affiliate of Point72, seeks an entry-level Quantitative Researcher to conduct rigorous research on predictive models for systematic trading across liquid assets. You will be trained from idea generation to practical trading considerations and aim to become a thought leader in a collaborative research group.

Ideal candidates hold a quantitative degree and are proficient in Python and SQL, with strong analytical skills and the ability to work both independently and

Qualifications

• BS, MS 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 work.
• Ability to work both independently and collaboratively in 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.

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.

Skills

Python

SQL

Analytical skills

Ownership

Teamwork

Quality results

Detail-oriented

Education

Bachelor's, Master's or PhD in quantitative field

Quantitative discipline

Tools

Python

Job description

Cubist Systematic Strategies, an affiliate of Point72, seeks an entry-level Quantitative Researcher to conduct rigorous research on predictive models for systematic trading across liquid assets. You will be trained from idea generation to practical trading considerations and aim to become a thought leader in a collaborative research group.

Ideal candidates hold a quantitative degree and are proficient in Python and SQL, with strong analytical skills and the ability to work both independently and