Quantitative Jobs in Web3
264 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Selby Jennings | New York, NY, United States | $84k - $150k | |||
Paradigm62 | New York, NY, United States | $84k - $100k | |||
Dvtrading | Remote | $77k - $105k | |||
Neutrl Labs | New York, NY, United States | $87k - $87k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Gate.io | APAC | $90k - $96k | |||
Swissblock | Baar ZG | $84k - $100k | |||
Bitmex | Remote | $117k - $179k | |||
Bitmex | Remote | $117k - $179k | |||
Dvtrading | Remote | $105k - $180k | |||
Presto | South Korea | $105k - $180k | |||
SwissBorg | Lisbon, Portugal | $27k - $67k | |||
Binance | Asia |
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Keyrock | London, United Kingdom | $72k - $90k | |||
Bitwise Asset Management | New York, NY, United States | $150k - $200k | |||
Binance | Taipei, Taiwan |
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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 is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.