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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 | |||
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This job is closed
The firm is a systematic crypto prop trading firm, founded by industry experts who previously built some of the most successful businesses in quant finance and crypto. This is a rare opportunity to join a growing A-team with incredible talent density, meritocratic culture, no politics and razor-sharp focus on outcome.
The ideal candidate is demonstrably among the best in their field, highly ambitious and a proven problem-solver with excellent judgement. Successful candidates will have the opportunity to learn from the best, grow their role significantly over time and build a highly rewarding, long-term career in systematic trading.
Responsibilities
⢠Develop alpha models that forecast future prices of crypto assets using state-of-the-art machine learning methods and statistical modeling techniques
⢠Build out a systematic, automated trading strategy for crypto markets that leverages our alpha models to anticipate price changes
⢠Generate innovative alpha ideas, and explore new datasets for alpha potential, in a collaborative research environment
⢠Optimize our crypto portfolio, and analyze our production trading performance
⢠Work closely with a team of exceptional quant researchers and developers, learn from your peers and industry experts, and help others on the team succeed
⢠Push your work to production and receive immediate performance feedback
⢠Become a core contributor to our trading strategy and research platform
Qualifications
⢠Ph.D. in Computer Science, Machine Learning, Statistics, Physics, Engineering, Applied Math, or other quantitative discipline; exceptional candidates with a Bachelorâs or Masterâs degree will also be considered
⢠Research track record demonstrating that you are driving innovation in your field
⢠Research or applied experience in machine learning or statistical modeling is a strong plus
⢠Proficiency in Python, Java, or other modern programming language
⢠Versatile problem-solving skills, and a drive to succeed
⢠Desire to learn continuously and increase your impact
⢠Ability to work closely with other quant researchers in a highly collaborative environment
⢠Prior work experience in a research role in tech or finance is a plus
⢠Knowledge of financial markets or the crypto industry is a plus but not required
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.