Junior Quantitative Researcher: Predictive Models & Trading

Point72

England

On-site

GBP 45,000 - 65,000

Full time

12 days ago

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Job summary

Cubist Systematic Strategies, an affiliate of Point72, is seeking an entry-level Quantitative Researcher in the United Kingdom. You will conduct rigorous quantitative research focused on predictive models within our collaborative research group.

You'll learn all aspects of systematic trading from idea generation to backtesting and practical trading considerations, building tools and working both independently and with the team.

Qualifications

  • BS/MS/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

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

Education

Bachelor's degree or higher in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline

Tools

Python
SQL

Job description

Cubist Systematic Strategies, an affiliate of Point72, is seeking an entry-level Quantitative Researcher in the United Kingdom. You will conduct rigorous quantitative research focused on predictive models within our collaborative research group.

You'll learn all aspects of systematic trading from idea generation to backtesting and practical trading considerations, building tools and working both independently and with the team.

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