Quantitative Analyst Jobs in Web3
67 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
G-20 Group | Zurich, Switzerland | $84k - $106k | |||
Gsrmarkets | Remote | $150k - $200k | |||
Kronosresearch | Remote | $27k - $70k | |||
Binance | Asia |
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Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
DTG Finance & Capital Markets | New York, NY, United States | $76k - $80k | |||
Cruz Money Pty Ltd | Remote |
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Binance | Asia |
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Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Token Metrics | Barcelona, Spain | $89k - $102k | |||
Impossible Cloud | Hamburg, Germany | $90k - $90k | |||
GSR Markets | Remote | $180k - $220k | |||
Kronos Research | Shanghai, China | $63k - $77k | |||
Kronos Research | Taipei, Taiwan | $32k - $81k |
Company: G-20 Group
Job Title: Quantitative Analyst & Developer – Trading Systems (Crypto/FX/Futures)
Experience Level: Mid-Senior
Type: Full Time, Permanent
Location: On-site, Central London, UK or Zurich, Switzerland
About G-20 Group
G-20, headquartered in Switzerland, is a technology-driven trading firm developing the next generation of automated trading systems across electronic and proprietary strategies. Our platform spans market making, statistical arbitrage, and other systematic strategies, with a strong emphasis on innovation, real-time infrastructure, and AI integration. We operate at the intersection of quantitative research, software engineering, and trading.
Role Overview
We’re expanding our core team with a Quantitative Analyst & Developer – Trading Systems, someone who combines strong mathematical modelling ability with pragmatic software engineering and a deep curiosity for markets.
Key Responsibilities
- Design, develop, and maintain quantitative trading strategies and tools across crypto, FX, and futures markets
- Build and optimize high-performance automated market making and execution systems
- Work with traders and researchers to prototype, test, and productionize models for pricing, volatility, risk, and execution
- Contribute to core trading infrastructure: data ingestion, order management, strategy engines, analytics, and monitoring
- Use AI and modern ML tools (including LLMs) to accelerate development, improve prediction, and enrich tooling
- Perform empirical research, back testing, and performance analysis using historical and real-time data
- Integrate new exchanges, protocols, and data sources into the system
- Able to deliver working projects and solutions effectively and quickly
- Postgraduate degree (MSc/PhD) inPhysics, Mathematics, Computer Science, Engineering, or Mathematical Finance
- Strong software engineering skills inC#(orC++orJava) with experience writing robust, performant, and scalable code
- Solid understanding offinancial markets, macroeconomics, and trading workflows
- Hands-on experience in abank, trading firm, hedge fund, or market-making environment, ideally with exposure to traders or risk managers
- Familiarity withderivatives,yield curves,pricing models, orrisk analytics
- Able to balance theory with practical implementation under real-time constraints
- Fluent English language ability (written and spoken).
Preferred / Desirable Experience
- Familiarity withcrypto,FX, orfuturestrading, including exchange APIs and market microstructure
- Understanding oforder book dynamics,liquidity provision, andlatency-sensitive systems
- Practical experience withdata analysis,time series, andstatistical learning
- Exposure tocloud computing,containers(Docker), ordistributed systems
- Working knowledge ofmachine learning,AI assistants, and/orLLM integrationfor code generation, data summarization, or signal extraction
- Experience innumerical optimization,stochastic calculus,Monte Carlo methods, orPDE-based model
Right to Work
This role will be basedin either our London office or Zurich office, based on the location of the selected candidate. Only candidates who possess the right to work in the UK or Switzerland need apply.
Join G-20 and be a part of a team that is at the forefront of the crypto market, driving innovation and excellence in the financial sector. Apply today to leverage your expertise in a dynamic and rewarding role.
Closing date for applications is EOD Friday April 18th. Thank you for your interest. Due to a high volume of applications, only candidates who meet the above criteria will be considered.
- Opportunities for professional growth and development within a leading global trading firm.
- A dynamic and collaborative working environment.
- Exposure to cutting-edge trading technology and global markets.
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.