Quantitative Developer/Research Engineer

Job Description
Role Summary
At Citadel Securities, a leading global market maker, our team of Quantitative Developers and Research Engineers partner with Quantitative Researchers to create and implement automated trading system software solutions that leverage sophisticated statistical techniques and technologies.
Opportunities available in Miami, Chicago, London, New York, Hong Kong, Sydney, Singapore
Objectives

• Design, develop, test, and deploy elegant software solutions for automated trading systems
• Partner with the Quantitative Research team to define priorities and deliver custom software solution

Skills and Preferred Qualifications

• A deep passion for technology, software development, and mathematics
• Proficiency within one or more programming languages, including C++, Python, and R
• Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development
• Exceptional quantitative and analytical skills
• Bachelor's, Master's or PhD degree in Computer Science, Mathematics, Statistics, or equivalent experience
• Strong written and verbal communications skills

In accordance with applicable law, the base salary range for this role is $250,000 to $350,000.
In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program,
as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans,
and access to other healthcare programs.
About Citadel Securities
Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market's most critical challenges, turning big ideas into real-world outcomes.