Tudor Pipeline group seeks an organized and proficient Quant Developer intern to join their team. The candidate will work within a team of extremely talented and collaborative Quantitative Researchers, Engineers, and Portfolio Managers. The team is comprised of technical and hands-on builders, each wearing multiple hats, and so will the candidate.
Responsibilities
As a Quant Developer Intern on the team, you will collaborate with other members of the team. Your key responsibilities will include but not limited to:
Manage and scale core components of our research infrastructure including data collection, machine learning framework, backtester etc.
Build out data pipelines for collecting new alternative datasets that can be monetized and incorporated in live trading
Add capabilities to our research and trading infrastructure for new assets/asset classes
Build tools and automation that bring trading strategies to life
Requirements
Currently enrolled in a BS/MS/PhD program in Computer Science or equivalent
Strong programming background in Python and C++
Strong problem solving and communication skills
Ability to multi-task and have ownership mentality
Experience with Python data science stack e.g., Pandas/Numpy/Scikit-learn
Outstanding coding, debugging and analytical skills
Devoted to writing automated tests
Location
New York
Salary (for internships based in the U.S.)
Compensation for Quantitative Developer Interns on the Pipeline team in New York has typically been $15,000-$18,000 per month, with the actual salary dependent on various factors including, but not limited to, a candidate’s education level, work experience and credentials, and/or skill level, geographic location, and other market conditions.