Quantitative Researcher - Intern
At a glance
Junior Data Science role at Point72. London · full-time · $120,000–$180,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Check, clean, standardize and simplify large datasets so they are ready for model estimation and event studies
- Spot useful signals and links in data to support predictions about market behavior
- Apply advanced modeling and statistical learning methods to market forecasting and systematic trading
What you bring
- You are pursuing undergraduate, master's or doctoral study in finance, computer science, mathematics, physics or another quantitative field
- You can code in C++, Java or another listed language
- You have strong quantitative reasoning and an active interest in financial markets and systematic trading
Who this fits
This internship suits students and researchers who want to apply statistical learning to market prediction and systematic trading. You should be ready to take ownership of tasks and work both independently and with a small team.
From the employer
Job Description
This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.
Job Responsibilities
- Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
- Identify features and relationships useful for the predictive modeling of market dynamics
Desirable Candidates
- Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
- Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
- Strong analytical and quantitative skills
- Demonstrated interest in financial markets and systematic trading
- Clear, concise, and proactive communicator
- Detail-oriented
- Willing to take ownership of his/her work, working both independently and within a small team
The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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