Quantitative Software Developer

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.