I head up the campus recruiting effort at Cubist – nice to meet you! We are the quant trading arm of Point72.
One of our teams is looking for an intern next summer, and we wanted to share the job description with your students. We think highly of your program so wanted to reach out directly. The spec is below and attached. Please let us know if you have any questions. Thanks! Jackie JOB DESCRIPTION: Summer 2022 Quantitative Research Internship, Cubist, New York Please send CVs to [email protected]<mailto:[email protected]> with “2022 KEPL Summer Internship Application” in the subject line. About Cubist: Cubist Systematic Strategies is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About Our Team: KEPL is a start-up trading team at Cubist Systematic Strategies. We are an elite team specialized in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is led by an ex-research head of D.E. Shaw and other founding members consist of industry veterans from top tier trading and tech firms, including Two Sigma, Citadel, Tower Research, Facebook AI Lab, etc. We have a collaborative culture, and we value rigorous research and innovative technologies. Role/Responsibilities: We are looking for exceptional students to be our quantitative researcher interns for the summer of 2022. An ideal candidate should have a strong passion and initiative to work in a start-up team environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative programs of top US universities. During the internship, the interns will collaborate closely with our full-time researchers and work on brand new quant trading models with real production impact. After the internship, we will provide full-time offers for interns with good performance. Requirements: * PhD candidate in math, physics, statistics, computer science, engineering or other quantitative fields * Strong knowledge of computational math, probability, and statistics * Strong analytical skills, with attention to details * Willing to work in a fast-pace start-up environment * Willing to learn and take ownership * Strong programming skills in Python, or C/C++ * Good communication skills ________________________________ DISCLAIMER: This e-mail message and any attachments are intended solely for the use of the individual or entity to which it is addressed and may contain information that is confidential or legally privileged. If you are not the intended recipient, you are hereby notified that any dissemination, distribution, copying or other use of this message or its attachments is strictly prohibited. If you have received this message in error, please notify the sender immediately and permanently delete this message and any attachments.
2022Summer.docx
Description: 2022Summer.docx
