| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Weekday AI | Remote | $105k - $108k | |||
Kronosresearch | Remote | $103k - $110k | |||
Wehrtyou | Remote | $175k - $300k | |||
Aurosglobal | 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 | |||
Auros | New York, NY, United States | $84k - $100k | |||
Selby Jennings | New York, NY, United States | $84k - $150k | |||
Swissblock | Baar ZG | $84k - $100k | |||
Keyrock | London, United Kingdom | $72k - $90k | |||
Binance | Taipei, Taiwan |
| |||
Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Monad Foundation | Remote | $86k - $110k | |||
Monad | New York, NY, United States | $74k - $100k | |||
Confusion Capital | Remote | $180k - $220k | |||
Numus | Remote | $105k - $120k |
This role is for one of the Weekday's clients
Min Experience: 2 years
Location : Mumbai, Remote (India)
JobType: full-time
We are seeking a highly motivated Crypto Quant Researcher to join our fast-growing team. In this role, you will work at the cutting edge of quantitative finance, focusing specifically on cryptocurrencies and digital assets. You will leverage your expertise in quantitative research, programming skills in Python and C++, and deep curiosity about crypto markets to design, backtest, and optimize innovative trading strategies.
This is a unique opportunity to shape trading models for an evolving asset class while working alongside a high-caliber team of engineers, researchers, and traders. If you are passionate about markets, quantitative modeling, and crypto, and thrive in a data-driven environment, we would love to hear from you.
Key Responsibilities:
- Conduct research to identify inefficiencies, opportunities, and patterns across crypto markets.
- Design, implement, and test statistical, machine learning, and algorithmic models for trading and risk management.
- Analyze large and diverse crypto datasets to validate hypotheses and enhance predictive models.
- Collaborate closely with engineering teams to implement models into production trading systems.
- Continuously monitor model performance and propose improvements based on real-world market behavior.
- Keep up to date with the latest trends in quantitative finance, machine learning, and blockchain technologies.
Required Skills & Qualifications:
- 2–5 years of experience as a Quant Researcher, Quant Analyst, or a related role, preferably in financial markets.
- Strong understanding of cryptocurrencies, DeFi protocols, blockchain mechanics, and digital asset market microstructures.
- Advanced programming skills in Python for data analysis, modeling, and prototyping.
- Proficiency in C++ for high-performance model development and optimization.
- Strong quantitative and statistical analysis skills; familiarity with time-series modeling, machine learning, or statistical arbitrage techniques is a plus.
- Ability to work with large datasets, including data cleaning, feature engineering, and statistical inference.
- Solid understanding of probability, linear algebra, optimization, and stochastic processes.
- Bachelor's, Master’s, or PhD degree in a quantitative field such as Computer Science, Mathematics, Statistics, Physics, Financial Engineering, or a related discipline.
Preferred Qualifications:
- Prior experience researching or trading in crypto markets is highly desirable.
- Exposure to high-frequency trading (HFT) environments or real-time data processing.
- Familiarity with APIs from major crypto exchanges and decentralized protocols.
- Knowledge of reinforcement learning, deep learning, or other advanced AI techniques as applied to financial markets.
What does a Quantitative Researcher do?
A Quantitative Researcher is a professional who conducts research in the field of finance, economics, or related fields using quantitative methods such as statistical analysis and mathematical modeling
They typically work in the financial industry, including investment banks, hedge funds, and asset management firms
The job of a Quantitative Researcher can vary depending on the employer and industry, but generally, they use quantitative techniques to analyze financial data and develop models that can be used to make investment decisions
A Quantitative Researcher in Web3 is a professional who conducts research using quantitative methods in the context of decentralized finance (DeFi) and other Web3 applications
They work to understand the behavior of decentralized systems and develop models that can be used to optimize investment strategies
Some specific tasks that a Quantitative Researcher may be responsible for include:
- Developing models for decentralized finance: Quantitative Researchers in Web3 may develop mathematical models and algorithms that can be used to analyze decentralized financial systems, such as decentralized exchanges (DEXs), lending protocols, and prediction markets. These models may be used to assess risk, predict market behavior, and optimize investment strategies.
- Conducting on-chain data analysis: Quantitative Researchers in Web3 analyze on-chain data from decentralized platforms to understand user behavior and network activity. They may use statistical techniques such as regression analysis and machine learning to analyze this data and identify patterns that can be used to inform investment strategies.
- Writing research reports: Quantitative Researchers in Web3 write reports summarizing their research findings and recommendations for investment strategies. These reports may be used by traders, portfolio managers, and other decision-makers within the organization.
- Collaborating with other teams: Quantitative Researchers in Web3 may work closely with other teams within the organization, such as developers, quants, and traders, to develop and implement investment strategies that leverage their research insights.