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 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:
- Implementing high performance, mission critical applications in C++.
- Contributing to existing infrastructure and applications in Java, Go, Python, C++.
- Researching new technologies for improved data management and efficient retrieval.
- Monitoring and enhancing the automated data collection and cleansing infrastructure.
- Building processes and technology tools to ingest, tag and clean datasets.
Requirements:
- B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics.
- Minimum of 5 years experience developing for production critical, high-performance, low latency applications.
- Minimum 10 years of experience in C++
- Proficiency in at least two of the following languages: Go, Java, Python.
- Working knowledge of financial products and high frequency trading.
- Intellectual curiosity and a love of learning.
- Strong problem-solving skills, ability to analyze and solve intricate problems, optimize code, and develop efficient solutions in a fast-paced environment.
- Strong oral and written communication skills.
- Commitment to the highest ethical standards.
