Quantitative Researcher - Intern

Point72; Paris; Sur place; EUR 30 000 - 60 000; Plein temps

Résumé du poste

Point72 seeks students and researchers skilled in advanced data modeling and statistical learning to apply these techniques to market prediction and systematic trading.

The role focuses on preprocessing very large data sets and identifying predictive features to support model estimation in a fast-paced research environment.

Qualifications

• Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline.
• Strong analytical and quantitative skills.
• Demonstrated interest in financial markets and systematic trading.
• Clear, concise, and proactive communicator.
• Detail-oriented; able to work independently and in a small team.

Responsabilités

• 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.

Connaissances

Analytical skills

Ownership & independence

Communication

Formation

Quantitative field (finance, CS, math, physics)

Outils

C++

Java

C#

MATLAB

R

Python

Perl

Description du poste

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 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