| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Qube Research & Technologies | Remote | $64k - $85k | |||
Cyber Capital | Amsterdam, Netherlands | $105k - $108k | |||
Swissblock | Baar ZG | $90k - $100k | |||
InfiniteQuant | New York, NY, United States | $72k - $120k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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 |
| |||
Harrington Starr | New York, NY, United States | $200k - $250k | |||
Animoca Brands Limited | Hong Kong, Hong Kong | $22k - $52k | |||
Flow Traders | Amsterdam, Netherlands | $77k - $95k | |||
Tokemak | Remote | $200k - $300k | |||
Monad Labs | New York, NY, United States | $74k - $100k |
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT:
- Create high quality Crypto signals on various exchanges and platforms.
- Monitor your own trading, strategy performance and all relevant risks.
- Your core objective is to create high quality predictive signals.
- By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
- Share and discuss research results, methodology, data sets and processes with other researchers.
- Implement the signals and the relevant datasets within the global execution platform.
- Monitor signal behaviour and model performance over time within your strategies.
- You would lead the full strategy research cycle from signal generation to implementation.
Your present skillset:
- Proven track record in delivering successful Crypto systematic strategies.
- Minimum 2 years of experience in the financial industry.
- Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
- Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
- Capacity to multi-task in a fast-paced environment while keeping strong attention to detail.
- Good fundamental crypto knowledge is a plus.
- Experience with one or more of the below is a plus:
- Crypto specific data sets, DeFi, latency-sensitive, ML/AI or strategies in production
- Coding skills required in at least one leading programming language, Python preferred, C++ is beneficial.
- Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
- Capacity to work with autonomy within a collegial and collaborative environment.
- Strong capacity to communicate with technologists, data scientists and traders across the globe.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.
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.