- Location
- New York · New York, United States
- Type
- Internship
- Department
- Quant Management
- Education
- Bachelor
- Source
- Greenhouse
Description
Role/Responsibilities:
We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.
Cubist’s data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.
This exceptional individual will be a member of a small team of data and software developers who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.
Responsibilities include:
- Building processes and technology tools to ingest, tag and clean datasets.
- Assisting Data Scientists with data processing, enrichment, and product development.
- Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++.
- Monitoring and enhancing the automated data collection and cleansing infrastructure.
- Researching new technologies for improved data management and efficient retrieval.
Requirements:
- B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics.
- Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
- Proficiency with Go and/or C++ is not required but is a big plus
- Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
- Strong problem-solving skills, ability to analyze and solve intricate problems, optimize code, and develop efficient solutions in a fast-paced environment.
- Intellectual curiosity and a love of learning.
- Strong oral and written communication skills.
- Commitment to the highest ethical standards.
