| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
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 | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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 | |||
Yuma | Stamford, CT, United States | $105k - $125k | |||
Dvtrading | Remote | $84k - $100k | |||
Wintermute | London, United Kingdom | $72k - $99k | |||
Wormhole Labs | Remote | $84k - $150k |
Role Overview
I am currently looking for an exceptional Quantitative Researcher / Trader to join one of the most impressive proprietary trading firms in the industry, working within a high-performing crypto systematic trading and alpha research team.
This is a technology-first, research-intensive environment where systematic strategies are designed, tested, and deployed at scale across global crypto markets. The focus is on building durable edge in fast-moving, fragmented markets where data, execution, and research quality are critical to success
.
What You’ll
- DoDesign, research, and deploy systematic crypto trading strategies (HFT/MF
- T)Develop alpha signals using order book, tick-level, and cross-venue market da
- taAnalyze microstructure dynamics across centralized and decentralized exchang
- esImprove execution quality, latency performance, and trade optimizati
- onEnhance risk management, inventory models, and portfolio construction framewor
ks
What You Br
- ing2–5+ years in quantitative trading, systematic research, or crypto-focused strateg
- iesStrong understanding of market microstructure and order book behav
- iorExperience building alpha signals or production trading syst
- emsStrong programming skills (Python and/or C++) with a production mind
- setAbility to work with high-frequency, noisy, large-scale datas
ets
If you’ve built systematic crypto strategies, think deeply about market structure, and want to operate in a world-class prop trading environment where performance and research excellence directly translate into impact, this is a standout opportun
ity.
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.