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Entry-Level Quantitative Researcher
TN United Kingdom
London
On-site
GBP 35,000 - 55,000
Full time
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Job summary
An established industry player is seeking an Entry-Level Quantitative Researcher in London. This exciting role involves conducting rigorous quantitative research and developing predictive models, with comprehensive training provided in systematic trading. You will engage in idea generation, data analysis, and hypothesis testing, contributing to a collaborative research environment. Ideal candidates will possess a strong analytical mindset and a degree in a quantitative discipline. If you're eager to start your career in finance and make an impact through innovative research, this opportunity is perfect for you.
Qualifications
- B.S., M.S. or PhD in quantitative discipline required.
- Strong analytical and quantitative skills are essential.
Responsibilities
- Conduct rigorous quantitative research focusing on predictive models.
- Manage the research process, including data analysis and hypothesis testing.
Skills
Education
Job description
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Point72
London, United Kingdom
Other
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Yes
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0a8db01bc317
7
26.04.2025
10.06.2025
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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
- 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/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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