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Senior Quantitative Researcher- High Frequency Trading, Cryptocurrency
I've recently partnered with a leading scaleup hedge fund focused exclusively on high frequency trading of cryptocurrencies. They are looking for a senior Quantitative Researcher/Trader to run an existing book, implement fresh strategic ideas, and also manage an existing team of 3.
If you're experienced within high frequency trading of cryptocurrencies, fiercely hands on, but also are interested in being responsible for a pivotal part of an emerging business, please apply for more information.
What will you get?
- Basic salary up to $250,000
- Bonus paid in direct correlation with profit sharing scheme
- Access to extensive resources to shape the team in your own image
- Hybrid wfh structure, with 3 days a week spent in their NYC office
What will you need?
- Demonstrated experience running high frequency strategies, ideally within cryptocurrency
- Passion for crypto and proactively thinking about it's future in the investment arena
- People skills - ability to manage and lead by example
This is an exceptional opportunity for the right person - please apply below if you feel you could be a fit, and feel free to reach out to myself at [email protected] with any questions.
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.