Conduct quantitative research and statistical analysis on crypto markets to develop, backtest, and implement automated trading strategies. Work with large and unconventional data sets to build valuation models, refine algorithms, and deploy signals in live trading to drive P&L growth.
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
C++
Machine Learning
Matlab
Nlp
Pattern Recognition
Probability & Statistics
Python
R
Time-Series Analysis
Similar Jobs at Citadel Securities
Information Technology • Software • Financial Services • Quantitative Trading
The Trade Operations Analyst will support sales and trading functions including trade booking, reconciliation, and P&L analysis while collaborating with various teams.
Top Skills:
Automation PlatformsTrading Systems
Information Technology • Software • Financial Services • Quantitative Trading
Quantitative Researchers at Citadel Securities develop automated trading strategies using statistical techniques and implement them in live environments.
Top Skills:
C++PythonR
Information Technology • Software • Financial Services • Quantitative Trading
The intern will develop trading strategies, back test models, analyze data, and collaborate with the research team to innovate and refine monetization systems.
Top Skills:
C++PythonR
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
