Job Position | Company | Posted | Location | Salary | Tags |
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Calyptus | New York, NY, United States | $84k - $90k | |||
Gsrmarkets | Remote | $81k - $87k | |||
Bloxstaking | Remote | $140k - $150k | |||
Dvtrading | Remote | $84k - $100k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Kronosresearch | Remote | $121k - $125k | |||
Binance | Asia |
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Tether | Madrid, Spain | $115k - $138k | |||
Base | Remote | $90k - $102k | |||
Ethereum Foundation | Remote | $96k | |||
LCX | Gurugram, India | $81k - $85k | |||
a16z | New York, NY, United States | $237k | |||
Zscaler | Remote | $98k - $120k | |||
Zscaler | Remote | $98k - $120k | |||
Andreessen Horowitz | New York, NY, United States | $237k | |||
Tether | Madrid, Spain | $90k - $150k |
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Responsibilities:
- Analyze market microstructure and on-chain data to identify inefficiencies and trading opportunities.
- Apply statistical and machine-learning techniques to generate, validate, and improve trading signals.
- Design and implement market-making, arbitrage, and systematic strategies end-to-end.
- Build and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling.
- Develop robust backtesting frameworks; conduct performance analysis and attribution.
- Implement trading system components, including order management and exchange connectivity.
- Build and operate data pipelines and research platforms for high-quality, reproducible research.
- Ensure system reliability, scalability, and latency/performance optimization in production.
- Implement risk monitoring and control systems across strategies and venues.
- Run post-trade analytics to evaluate execution quality, slippage, and market impact.
- Develop risk metrics, dashboards, and reporting tools for strategy and portfolio oversight.
- Run simulations and estimate market impact for both liquid and illiquid assets.
Who you are:
- M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field.
- 1–5 years of quantitative research/analysis or development experience.
- Strong foundation in probability, statistics, time-series modeling, and quantitative methods.
- Expert-level Python for research and production; proficiency in C++ or Rust for performance-critical components.
- Solid grasp of data structures, algorithms, software engineering principles, and version control.
- Experience with statistical analysis, backtesting methodologies, and strategy development.
- Ability to create and use algorithms to investigate large datasets and resolve data/logic errors with rigor.
- Understanding of financial markets, trading concepts, and risk-management principles.
Preferred:
- Experience with machine-learning frameworks and distributed/parallel computing.
- Familiarity with Linux development environments and modern DevOps practices.
- Understanding of cryptocurrency markets, DeFi protocols, and on-chain analytics.
- Experience with real-time trading systems, low-latency applications, and exchange integrations.
- Knowledge of blockchain technology, smart-contract fundamentals, and MEV-aware strategies.
- Professional certifications (e.g., CFA, FRM), prior experience in quantitative trading/fintech, and/or publications in relevant fields.
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Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.
Sign up now at https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you.
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.