Quantitative Analyst / Software Developer

Posted 6 Days Ago
New York, NY
1-3 Years Experience
Financial Services
The Role
The candidate will develop and maintain a production trading system, work on enhancing monetization through research, and create technologies to improve research and trading productivity. The role requires collaborating with researchers to innovate tools for trading success.
Summary Generated by Built In

About our Team: 

KEPL is a fast-growing team at Cubist Systematic Strategies. We are an elite team specialized in trading medium-frequency statistical arbitrage strategies with high Sharpe. Led by an ex-research head of D.E. Shaw, the team is made up of people from top universities such as Stanford and MIT and industry veterans from top tier trading and tech firms, including Two Sigma, Citadel, Tower Research, Facebook AI, etc. We have an open and collaborative culture, and we embrace cutting-edge technologies to facilitate innovative research. 

Role/Experience: 

We are looking for a hybrid role of quantitative research analyst and software developer to join our fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion in technology to provide optimal solution to research and trading. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with researchers to innovate research tools which will take our research and trading capability to the next level.

Responsibilities: 

  • Develop, maintain, and improve the production trading system. Conduct research to further enhance team’s monetization.
  • Build technologies that bolster research & trading productivity.
  • Expand the system to new markets and asset classes. 

Requirements

  • Master/PhD degree in math, physics, computer science, engineering, or other related discipline.
  • 1-3 years of professional experience in software development or quantitative research.
  • Strong combination of quantitative skills and programming skills.
  • Proficiency in Python 3 and either C++ or Java.
  • Familiarity with the Linux environment

Top Skills

C++
Java
Python
The Company
HQ: Stamford, CT
1,691 Employees
On-site Workplace
Year Founded: 2014

What We Do

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

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