Point72 Asset Management, L.P | Quantitative Software Developer
2 weeks ago
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 of 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.
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