| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Joseph Anthony Group | New York, NY, United States | $125k - $150k | |||
Gsrmarkets | Remote | $90k - $120k | |||
Kronosresearch | Remote | $121k - $125k | |||
B2c2 | Remote | $105k - $120k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Tether Operations Limited | ZH ZĂĽrich CH | $90k - $125k | |||
Alexander Chapman | New York, NY, United States | $84k - $100k | |||
Crypto.com | Dallas, TX, United States | $100k - $150k | |||
Tether Operations Limited | Dubai, United Arab Emirates | $90k - $125k | |||
Binance | Hong Kong, Hong Kong |
| |||
Undisclosed | New York, NY, United States | $90k - $100k | |||
Alexander Chapman | New York, NY, United States | $90k - $100k | |||
Binance | Taipei, Taiwan |
| |||
Crypto.com | United States | $100k - $230k | |||
Tether Operations Limited | 62 Roma IT | $122k - $144k | |||
The Depository Trust & Clearing Corporation (DTCC) | Jersey City, NJ, United States | $67k - $101k |
We’ve partnered with a high-growth technology company building purpose-built blockchain infrastructure for financial applications. The firm develops interoperable Web3 systems and decentralized finance products that power trading, derivatives, and cross-chain liquidity across digital asset markets.
They are hiring a Quantitative Researcher to join a New York-based quantitative team. The role focuses on analyzing crypto market structure and developing systematic trading strategies within decentralized environments. This position is well-suited to someone experienced working with real-time data and algorithmic trading models.
Responsibilities
- Analyze market microstructure and on-chain data to identify inefficiencies
- Develop statistical and machine learning models for trading strategies
- Design and implement market-making, arbitrage, and systematic strategies
- Build and maintain research pipelines and optimization tools
- Develop and run backtesting frameworks
- Contribute to trading infrastructure including order management and connectivity
- Build scalable data pipelines and research environments
- Optimize system performance, latency, and reliability
- Implement risk monitoring and controls
- Conduct post-trade analysis including slippage and market impact
- Create dashboards and reporting tools
- Run simulations to evaluate execution and liquidity
Qualifications
- M.S. or Ph.D. in a quantitative field
- 3–5 years of experience in quantitative research or development
- Experience in high-frequency or low-latency environments
Required Skills
- Strong background in statistics, probability, and time-series analysis
- Advanced Python skills
- Experience with C++ or Rust
- Solid understanding of data structures and algorithms
- Experience with backtesting and strategy development
- Ability to work with large datasets and validate results
- Understanding of financial markets and risk management
Preferred Skills
- Experience with machine learning or distributed systems
- Familiarity with Linux environments
- Exposure to crypto markets or blockchain data
- Experience with real-time trading systems and APIs
- Understanding of blockchain or smart contracts
- Background in fintech or trading firms
- Relevant certifications or published research
Pay range and compensation package
- Competitive base and performance incentives
- Equity or token participation
- Health benefits
- Flexible PTO
- Home office and equipment support
- Flexible work schedule
- Work on advanced financial technology
- Collaborative team environment
What does a researser in web3 do?
As a researcher in the field of web3, a person's responsibilities may vary depending on their specific role and the organization they work for
However, some common responsibilities for a researcher in this field may include: security, cryptography, and privacy, as well as decentralized algorithms for consensus and optimization, cryptoeconomic mechanisms and game theoretical analysis, network protocols.