| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronosresearch | Remote | $89k - $102k | |||
Lido | Remote | $120k - $140k | |||
Token Metrics | Austin, TX, United States | $32k - $81k | |||
Impossible Cloud | Zug, Switzerland | $87k - $150k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Gsrmarkets | New York, NY, United States | $150k - $200k | |||
Lobster | Paris, France | $40k - $100k | |||
Gravity Team | Remote | $100k - $250k | |||
G-20 Group | Zurich, Switzerland | $84k - $106k | |||
Kronosresearch | Remote | $27k - $70k | |||
Binance | Asia |
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DTG Finance & Capital Markets | New York, NY, United States | $76k - $80k | |||
Cruz Money Pty Ltd | Remote |
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Binance | Asia |
| |||
Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k |
Job Description We are looking for a Quantitative Analyst for Crypto Options to help develop pricing models, automated quoting systems, and internal research infrastructure. The role involves quantitative modeling, data processing, and system automation in a high-performance trading environment. You will work closely with the team lead and gain hands-on exposure to advanced financial engineering and real-world derivatives implementation. Fresh graduates or candidates with less than two years of experience are welcome to apply. A strong interest in financial engineering matters more than prior industry experience. Responsibilities
Build and validate pricing models Develop payoff engines and simulation frameworks Implement data pipelines for research & calibration Contribute to automation tools and internal infra
Requirements
Degree in Math / Physics / Engineering / CS or other quantitative fields Exceptional mathematical skills (calculus, statistics, time-series, linear algebra) Strong passion for derivatives pricing & financial engineering Proficient in Python (numerical computing) Familiar with Linux command-line Fluent in database usage & data manipulation Strong communication & teamwork
Good to have
Numerical methods / PDE experience Machine learning background Options trading or volatility modeling knowledge Proficiency in C++
What you will gain
Derivatives pricing theory and financial engineering Numerical methods and model implementation Volatility modeling and structured product design Real-world integration of quant models into production systems
What do quantitative analyst do?
A quantitative analyst, also known as a 'quant', is a professional who uses quantitative techniques to develop and implement financial models, analyze data, and make investment decisions
Quants are typically employed by financial institutions such as hedge funds, investment banks, and asset management firms
In Web3 quantitative analysts can leverage their expertise in data analysis and modeling to inform investment decisions and help build new decentralized systems and applications
The job of a quantitative analyst can vary depending on the employer and industry, but generally, they use mathematical and statistical models to analyze financial data and make informed investment decisions
They may use programming languages like Python, R, or MATLAB to develop these models
Some specific tasks that a quantitative analyst may be responsible for include:
- Analyzing financial data and identifying patterns and trends.
- Developing and testing mathematical models to predict financial market behavior.
- Designing and implementing trading strategies based on quantitative analysis.
- Decentralized finance (DeFi) analysis: Quants can analyze various decentralized financial protocols to identify opportunities for investment and assess risks associated with these protocols. They may develop models to predict the behavior of decentralized financial instruments and evaluate their performance.
- Cryptocurrency market analysis: Quants can analyze cryptocurrency markets and identify patterns and trends that may be used to inform trading strategies. They can also develop models to predict the price movements of cryptocurrencies based on various factors such as supply and demand, market sentiment, and adoption rates.
- Smart contract analysis: Smart contracts are self-executing contracts with the terms of the agreement directly written into code. Quants can analyze smart contract code to identify potential vulnerabilities and assess the risk associated with the execution of the contract.
- Web3 data analysis: Quants can analyze data from various Web3 platforms and protocols to identify trends and make informed decisions. This may involve developing new techniques for analyzing decentralized data, such as utilizing data from on-chain transactions to gain insights into user behavior and network activity.