Two Sigma Papers We Love (Bachelors/Masters) [Virtual]


Date: Tuesday, October 5th, 2021
Time: 5:00pm - 6:00pm PT (8:00pm - 9:00pm ET)
Location: Google Meet – we will send you the zoom registration link in the confirmation email

Two Sigma’s culture of learning has its roots in our employees’ deep ties to academia. We constantly draw ideas and inspiration from the broader math, science, and investment communities, and we share these insights with our colleagues through various reading groups at Two Sigma.

Please join us to learn more about some of our quant researchers' favorite papers and interests. We will provide an overview of the research papers/topics and split you into breakout sessions, where we can further discuss the details and share potential applications.

Kindly apply for a spot by applying here. We hope to see you there!

Our Quant Researchers include:
· John completed his BS and MS in Computer Science at Stanford (class of 2018 & 2019). At Two Sigma, he designs statistical models to predict equity returns. He’s excited to talk about how he applies his academic background in industry – the low signal-to-noise ratio and high complexity of the domain make for a challenging and rewarding modeling experience.

· Luyang completed his PhD in Computational and Mathematical Engineering at Stanford (class of 2019), and he currently works as a quantitative researcher at Two Sigma. His day-to-day work includes building predictive models with cutting-edge machine learning techniques. Please join him in discussing how you can apply your academic background in the industry and what the path looks like through internship to a full-time job at Two Sigma.

Tuesday, October 5, 2021 - 5:00pm to 6:00pm