Conduct quantitative research and statistical analyses in crypto markets to develop, backtest, and implement trading strategies. Work with large and unconventional datasets, design valuation strategies and mathematical models, translate algorithms into code, and drive P&L growth through continuous model improvement.
Job Description
Role Summary:
At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques.
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details, and we will contact you if there is a vacancy available.
Responsibilities:
• Conduct research and statistical analyses in crypto markets
• Drive P&L growth in cryptocurrency trading by refining existing strategies and developing new trading strategies and algorithms.
• Work with large data sets, including unconventional data sources, to predict and test statistical market patterns
• Conceptualize valuation strategies, develop and continuously improve mathematical models, and translate algorithms into code
• Back test and implement trading models and signals in a live trading environment
Qualifications:
• Experience working with crypto markets, exchanges, or digital asset trading infrastructure (preferred)
• Advanced training in mathematics, statistics, physics, computer science, or another highly quantitative field
• Proficiency in probability & statistics (e.g. time-series analysis, machine learning, pattern recognition, NLP)
• Prior experience working in a data-driven research environment
• Hands-on programming experience in scripting (e.g. Python), analytical packages (e.g. R, Matlab), and/or compiled languages (e.g. C++)
• A background demonstrating strong analytical problem-solving skills
• Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems
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 researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques.
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details, and we will contact you if there is a vacancy available.
Responsibilities:
• Conduct research and statistical analyses in crypto markets
• Drive P&L growth in cryptocurrency trading by refining existing strategies and developing new trading strategies and algorithms.
• Work with large data sets, including unconventional data sources, to predict and test statistical market patterns
• Conceptualize valuation strategies, develop and continuously improve mathematical models, and translate algorithms into code
• Back test and implement trading models and signals in a live trading environment
Qualifications:
• Experience working with crypto markets, exchanges, or digital asset trading infrastructure (preferred)
• Advanced training in mathematics, statistics, physics, computer science, or another highly quantitative field
• Proficiency in probability & statistics (e.g. time-series analysis, machine learning, pattern recognition, NLP)
• Prior experience working in a data-driven research environment
• Hands-on programming experience in scripting (e.g. Python), analytical packages (e.g. R, Matlab), and/or compiled languages (e.g. C++)
• A background demonstrating strong analytical problem-solving skills
• Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems
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
Python,R,Matlab,C++,Machine Learning,Nlp,Time-Series Analysis
Citadel Securities New York, New York, USA Office
425 Park Avenue, New York, NY, United States, 10022
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