| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Selby Jennings | New York, NY, United States | $84k - $150k | |||
Eigen Labs | Seattle, WA, United States | $200k - $225k | |||
Nethermind | Remote | $36k - $75k | |||
Polygon Labs | United States | $157k - $175k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Nearfoundation | Remote | $72k - $148k | |||
Parity | Remote | $62k - $77k | |||
Chainlink Labs | United Kingdom | $63k - $75k | |||
Hyphenconnect | Remote | $54k - $80k | |||
Supraoracles | Remote | $62k - $100k | |||
Blockchain | Remote | $105k - $150k | |||
Okx | Remote | $36k - $54k | |||
Supraoracles | Remote | $74k - $100k | |||
Startale Group | Remote |
| |||
Reown | Remote | $84k - $110k | |||
Crypto.com | Hong Kong, Hong Kong | $105k - $180k |
Company Overview:
Partnered with a leading digital asset management firm specializing in high-frequency and algorithmic trading strategies across the crypto markets. Our team consists of world-class quantitative researchers, engineers, and traders leveraging advanced mathematical models, data-driven insights, and cutting-edge technology to gain a competitive edge. We are seeking a Sr. QR with expertise in systematic trading strategies to drive alpha generation.
Key Responsibilities:
- Design, develop, and refine systematic trading strategies in high-frequency and algorithmic crypto markets.
- Conduct rigorous quantitative research and statistical modeling to identify market inefficiencies, arbitrage, and liquidity opportunities in centralized (CEX) and decentralized (DEX) markets.
- Develop predictive models and machine learning techniques for alpha signal generation and execution optimization.
- Collaborate with engineers to enhance backtesting frameworks, trading infrastructure, and low-latency execution systems.
- Analyze high-frequency market data, order book dynamics, and liquidity patterns to improve trading performance.
- Optimize risk-adjusted returns by implementing robust portfolio and risk management frameworks.
- Stay ahead of the evolving crypto landscape, exploring new DeFi protocols, derivative markets, and trading venues.
- Proven experience as a Quantitative Researcher in crypto trading, HFT, or systematic trading.
- Strong mathematical and statistical foundation with expertise in probability, stochastic processes, optimization, and time-series analysis.
- Programming proficiency in Python, C++, Rust, or Java for research, strategy development, and automation.
- Deep understanding of crypto market microstructure, execution algorithms, and liquidity dynamics.
- Experience with machine learning, reinforcement learning, or alternative data sources is a plus.
- Ability to work in a fast-paced, high-pressure environment and adapt to evolving market conditions.
- Ph.D. or Master's degree in a quantitative field (Mathematics, Physics, Computer Science, Finance, etc.) preferred.
What does a Rust developer in web3 do?
A Rust developer in the context of web3 is a programmer who uses the Rust programming language to build applications and tools for the decentralized web, also known as the web3 ecosystem
The specific responsibilities of a Rust developer in web3 may vary depending on the project or organization they are working for, but in general, they would be responsible for writing, testing, and maintaining Rust code that is used to build web3 applications
This could include things like creating smart contracts for decentralized finance (DeFi) applications, building tools for interacting with decentralized storage networks, or developing decentralized applications (dApps) for the web3 ecosystem.