Develop and implement automated trading system software solutions in partnership with Quantitative Researchers, focusing on software design, development, and deployment.
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
Skills and Preferred Qualifications
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 a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .
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 a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .
Top Skills
C++
Distributed Computing
Machine Learning
Natural Language Processing
Networking
Python
R
System Design
Web Development
Citadel Securities Sydney, New South Wales, AUS Office
Westpac Building, 60 Martin Place, Sydney, New South Wales, Australia, 2000
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