Quantitative Researcher Jobs in Web3
82 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Numus | Remote | $105k - $120k | |||
Wintermute | London, United Kingdom | $36k - $87k | |||
Qube Research & Technologies | Remote | $64k - $85k | |||
Cyber Capital | Amsterdam, Netherlands | $105k - $108k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Swissblock | Baar ZG | $90k - $100k | |||
InfiniteQuant | New York, NY, United States | $72k - $120k | |||
Kronos Research | Singapore, Singapore | $84k - $100k | |||
Options Group | New York, NY, United States | $64k - $66k | |||
IMC | Zug, Switzerland | $64k - $75k | |||
Warlock Labs Inc | Remote | $174k - $274k | |||
Stealth | Remote | $150k - $200k | |||
Arrakis.fi | Remote |
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Harrington Starr | New York, NY, United States | $200k - $250k | |||
Animoca Brands Limited | Hong Kong, Hong Kong | $22k - $52k | |||
Flow Traders | Amsterdam, Netherlands | $77k - $95k |
We are looking for a Quantitative Researcher who can help us develop alpha through systematic trading strategies. You will work closely with experienced researchers, traders, and a technology team with deep domain expertise. The digital asset space is young, fast-evolving, and filled with innovative sources of alpha and trading opportunities.
Key Responsibilities:
- Employ a rigorous scientific approach to develop sophisticated investment models and deliver insights into how markets behave
- Apply quantitative techniques, like machine learning, to a vast and innovative array of datasets
- Create and test complex investment ideas and develop algorithms that lead to trading decisions
- Analyze investment model performance and behavior, aiming for constant improvements
- Work closely with our team of experienced developers to translate investment models into production code
Skill Set and Qualifications:
- Educational background in technical field, preferably Mathematics, Statistics, Physics or Theoretical Computer Science
- Solid experience in model building, backtesting, parameter optimization routines, execution engine design and performance tracking
- Strong analytical skills; experience working with, and analyzing, large datasets
- Strong mathematical and statistical modeling skills (e.g. time-series)
- Ability to think independently, creatively approach data analysis, and communicate complex ideas clearly
- Basic knowledge of the digital asset space is beneficial, but not required
- Intermediate programming background in Python and C++
- Fluent English speaker
- Ability to travel periodically between our offices in NYC, London and Zug, Switzerland
Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions makes a difference? We’d like to hear from you.
The salary for this role is anticipated to be between $125,000 and $250,000. This anticipated salary range is based on information as of the time this post was created. This role may also be eligible for additional forms of compensation and benefits, such as a discretionary bonus, health, dental and other benefits plans. Actual compensation will be carefully determined based on a number of candidate factors, including their skills, qualifications and experience.
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.