Quantitative Researcher - Intern

Point72; Seattle (WA); On-site; USD 120,000 - 180,000; Part time

Job summary

Point72 invites qualified students and researchers to join a high-impact data modeling project focused on market prediction and systematic trading. You will work with advanced data, validate and prepare large datasets, and contribute to predictive models used in live decision-making.

Ideal candidates are pursuing MS or PhD in quantitative fields and are proficient in programming languages such as C++, Java, Python, or MATLAB.

Qualifications

• MS or PhD candidates in quantitative disciplines.
• Strong analytical and quantitative skills required.
• Clear, concise, and proactive communicator.

Responsibilities

• Pre-process large data sets for model estimation and event studies.
• Identify features and relationships for predictive modeling of market dynamics.

Skills

Analytical skills

Quantitative skills

Communication

Education

MS or PhD candidate

Tools

C++

Java

C#

MATLAB

R

Python

Perl

Job description

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

• 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.