Quantitative Researcher Summer Intern - NYC

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We are seeing an exceptional intern to join our Quantitative Research team in the New York City metro area where they will work with other researchers and developers on various research projects, including the design of novel predictive signals and the enhancement of our algorithms for prediction, trade execution, portfolio construction, risk management, among others. You will have an opportunity to meaningfully contribute to all facets of running a successful quantitative trading business and help it grow and diversify.

What you’ll do 

Depending on the portfolio manager team you join, as a Quantitative Researcher Intern you will be directly responsible for furthering our alpha research. You will understand the economics of a fundamental domain, and the corresponding insights that can be gathered from associated alternative data offerings. You will identify compelling differentiating factors, design novel predictive signals, backtest & validate hypotheses. Over the 10-week internship program, you will have the opportunity to collaborate with senior team members to learn what it takes to be a successful quantitative researcher. Additionally, you’ll get the opportunity to network and socialize with peers throughout the internship.

What you’ll bring

What you need:

• A Bachelor’s, Master’s, or PhD degree in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science (ideally with one year left in your academic program)
• Excellent programming skills in languages such as Python, C, C++, Java, SQL, or R
• Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis and forecasting, pattern recognition, NLP).
• The ability to communicate research ideas clearly and succinctly
• Creative problem-solving skills and experience working with real-world datasets
• Strong attention to detail

We’d love if you had:

• Previous financial industry experience although it is not required
• An advanced degree in a quantitative or technical field