| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Citadel Securities | Miami, FL, United States | $84k - $115k | |||
Dvtrading | Remote | $112k - $144k | |||
Jack & Jill | New York, NY, United States | $200k - $300k | |||
Joseph Anthony Group | New York, NY, United States | $125k - $150k | |||
| Learn Job-ready Solidity & Rust skills, in your schedule with 1-on-1 mentor support, or get your money back. ISO 9001 Certified | 400+ students | | by Metana Learn more | |||
Alexander Chapman | New York, NY, United States | $84k - $100k | |||
Crypto.com | Dallas, TX, United States | $100k - $150k | |||
Crypto.com | United States | $100k - $230k | |||
Douro Labs | Europe | $64k - $90k | |||
Quanta Search | Chicago, IL, United States | $84k - $100k | |||
Binance | Taipei, Taiwan |
| |||
Swissblock | Baar ZG | $84k - $150k | |||
Dvtrading | Remote | $84k - $120k | |||
Okx | Remote | $140k - $300k | |||
Fionics | New York, NY, United States | $36k - $100k | |||
Keyrock | London, United Kingdom | $64k - $125k |
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.
Locations
Hong Kong, London, Miami, New York, Singapore
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
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.
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.
What does a Quantitative Researcher do?
A Quantitative Researcher is a professional who conducts research in the field of finance, economics, or related fields using quantitative methods such as statistical analysis and mathematical modeling
They typically work in the financial industry, including investment banks, hedge funds, and asset management firms
The job of a Quantitative Researcher can vary depending on the employer and industry, but generally, they use quantitative techniques to analyze financial data and develop models that can be used to make investment decisions
A Quantitative Researcher in Web3 is a professional who conducts research using quantitative methods in the context of decentralized finance (DeFi) and other Web3 applications
They work to understand the behavior of decentralized systems and develop models that can be used to optimize investment strategies
Some specific tasks that a Quantitative Researcher may be responsible for include:
- Developing models for decentralized finance: Quantitative Researchers in Web3 may develop mathematical models and algorithms that can be used to analyze decentralized financial systems, such as decentralized exchanges (DEXs), lending protocols, and prediction markets. These models may be used to assess risk, predict market behavior, and optimize investment strategies.
- Conducting on-chain data analysis: Quantitative Researchers in Web3 analyze on-chain data from decentralized platforms to understand user behavior and network activity. They may use statistical techniques such as regression analysis and machine learning to analyze this data and identify patterns that can be used to inform investment strategies.
- Writing research reports: Quantitative Researchers in Web3 write reports summarizing their research findings and recommendations for investment strategies. These reports may be used by traders, portfolio managers, and other decision-makers within the organization.
- Collaborating with other teams: Quantitative Researchers in Web3 may work closely with other teams within the organization, such as developers, quants, and traders, to develop and implement investment strategies that leverage their research insights.