Quantitative Analyst / Software Developer

Point72; New York (NY); Hybrid; USD 80,000 - 120,000; Full time

Job summary

Dormont Manufacturing Co is seeking a hybrid quantitative research analyst and software developer to join its fast-growing team in New York. The candidate will contribute to multiple initiatives aimed at expanding business and will work on innovative research tools.

The ideal candidate will have a Master’s or PhD in a related field, with 1-3 years of experience, and strong programming skills in Python and either C++ or Java. Familiarity with Linux is also required.

Qualifications

• Master/PhD degree in a related discipline.
• 1-3 years of experience in software development or quantitative research.
• Strong combination of quantitative and programming skills.

Responsibilities

• Develop and improve the production trading system.
• Build technologies to enhance research & trading productivity.
• Expand the trading system to new markets and asset classes.

Skills

Quantitative skills

Programming skills

Python 3 proficiency

C++ or Java proficiency

Familiarity with Linux

Education

Master/PhD in math, physics, computer science, engineering, or related discipline

Job description

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