Quantitative Research Intern: Market Prediction & Modeling

Dormont Manufacturing Co; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Dormont Manufacturing Co in New York, NY is offering an opportunity for students and researchers to engage in advanced data modeling and apply statistical learning methods to market prediction and systematic trading. The role involves pre-processing large data sets and identifying features for predictive modeling.

We seek undergraduate, MS, or PhD candidates in quantitative disciplines with programming skills in C++, Java, or Python, alongside strong analytical abilities. A competitive salary of $120,000-$180,000 (USD) will be prorated based on internship duration.

Qualifications

• Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline.
• Demonstrated interest in financial markets and systematic trading.
• Detail-oriented, proactive communicator who works well both independently and in teams.

Responsibilities

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

Skills

Programming in C++, Java, C#, MATLAB, R, Python, Perl

Strong analytical and quantitative skills

Interest in financial markets

Communication skills

Detail-oriented

Education

Undergraduate, MS, or PhD in finance, computer science, mathematics, or physics

Job description

Dormont Manufacturing Co in New York, NY is offering an opportunity for students and researchers to engage in advanced data modeling and apply statistical learning methods to market prediction and systematic trading. The role involves pre-processing large data sets and identifying features for predictive modeling.

We seek undergraduate, MS, or PhD candidates in quantitative disciplines with programming skills in C++, Java, or Python, alongside strong analytical abilities. A competitive salary of $120,000-$180,000 (USD) will be prorated based on internship duration.