Quantitative Research Intern — Market Dynamics & Trading
Point72
New York (NY)
On-site
USD 120,000 - 180,000
Full time
14 days+
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Job summary
A leading financial services firm in New York is seeking students and researchers for an internship focused on advanced data modeling and statistical learning methods. Interns will preprocess large datasets for model estimation, identify predictive features, and contribute to market dynamics modeling. Ideal candidates are pursuing degrees in quantitative fields and possess strong programming skills in languages like C++, Java, or Python. The annual salary is $120,000-$180,000 (USD) prorated for the internship duration.
Qualifications
Candidates should be pursuing an undergraduate, MS, or PhD in finance, computer science, mathematics, physics, or other quantitative disciplines.
Strong programming skills in C++, Java, C#, MATLAB, R, Python, or Perl are essential.
Candidates must demonstrate strong analytical and quantitative skills with an interest in financial markets.
Responsibilities
Pre-process very large data sets for model estimation and event studies.
Identify useful features and relationships for predictive modeling of market dynamics.
Skills
Programming in C++
Programming in Java
Programming in C#
Programming in MATLAB
Programming in R
Programming in Python
Programming in Perl
Strong analytical skills
Quantitative skills
Communication skills
Detail-oriented
Education
Undergraduate degree in finance or quantitative discipline
MS or PhD candidates in relevant fields
Job description
A leading financial services firm in New York is seeking students and researchers for an internship focused on advanced data modeling and statistical learning methods. Interns will preprocess large datasets for model estimation, identify predictive features, and contribute to market dynamics modeling. Ideal candidates are pursuing degrees in quantitative fields and possess strong programming skills in languages like C++, Java, or Python. The annual salary is $120,000-$180,000 (USD) prorated for the internship duration.