Stop applying — get discovered by hiring agents.
| Job Position and Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|
| $125k - $150k | ||||
Gsrmarketsđź“Ť Remote | $64k - $86k | |||
| $72k - $99k | ||||
| $98k - $120k | ||||
 ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
| $84k - $100k | ||||
| $100k - $150k | ||||
Douro Labsđź“Ť Europe | $64k - $90k | |||
|
| ||||
Dvtradingđź“Ť Remote | $100k - $200k | |||
Dvtradingđź“Ť Remote | $90k - $100k | |||
Dvtradingđź“Ť Remote | $100k - $200k | |||
| $84k - $150k | ||||
| $27k - $92k | ||||
Blockchainđź“Ť Remote | $121k - $164k | |||
Dvtradingđź“Ť Remote | $84k - $120k |
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 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.