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Dvtrading📍 Remote | $84k - $100k | |||
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 ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
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Douro Labs📍 Europe | $64k - $90k | |||
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Dvtrading📍 Remote | $84k - $120k |
A brand new systematic crypto prop trading firm, founded by industry experts who previously built some of the most successful businesses in quant finance, are looking for graduates from top programs across the US to join their NYC office and help building out a first-in-class crypto trading strategy.
You would join as a quant developer or researcher and have the rare opportunity to be a part of a growing top-minded team with meritocratic culture and result-driven. The ideal candidate is someone who has stood out in their field is a problem-solver and ambitious.
What they are looking for:
· Master’s Degree minimum, however PhD is strongly preferred
· Computer Science, Physics or Theoretical Physics degree
· Graduation between 2025-2026
· 3+ years of experience in Python or C++
· Excellent communications skills
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.