| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Mirana | Singapore, Singapore | $40k - $56k | |||
Crypto.com | Remote | $14k - $23k | |||
Kronos Research | Taipei, Taiwan | $28k - $33k | |||
Altonomy | Singapore, Singapore |
| |||
| 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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About Mirana
Mirana is one of the trailblazers in the crypto market, venturing across the realm of blockchain technology, the sea of tokens, and the world of DeFi. Drawing on its unique know-how and a robust team of ingenious traders and insightful strategists, Mirana is pioneering investments in primary crypto markets and continually innovates quant-trading tools and techniques that drive better capital performance.
Our Locations
Mirana is Asia-based, with offices in Singapore, Hong Kong, and Shanghai.
Our Businesses
Mirana focuses on developing sophisticated strategies and innovative tools for quantitative trading across a wide array of crypto assets. We also establish ventures helping promising projects in crypto and blockchain burgeon and excel.
Our People
Mirana boasts a diversified team of tech savvies, professional traders, skilled analysts, and experienced investment strategists. Our offices house competitive personnel of more than 70 from across the globe, and we are eager for more talents like you to join our ‘ventures’.
Responsibilities
- Conduct in-depth quantitative and analytical research on Defi protocols and blockchain data, design and deploy systematic strategies to capture market and protocol inefficiency.
- Closely follow the trend and news of decentralized industry, systematically and selectively participate in decentralized activities for profit seeking, for example NFT or Gamefi.
- Focus on growing the pie strategically for the long term instead of short term fast cashing-in.
- Provide reporting on daily market sentiment, risk exposure, P&L
- Conduct post trade and performance analysis of strategies
- Work with the Risk Management and Engineering team to enhance the in-house defi system.
- Bachelor’s or Master’s degree from top university, preferably majors in
- Mathematics / Statistics/ Computer Science/ Financial Engineering
- Solid quantitative and analytical skills, and experience in back-testing/simulation.
- Hands-on experience on defi protocols and good knowledge of blockchain basics
- Strong programming skills (Python or C++ or Java etc)
- Ability to work autonomously and/or remotely in a team
- Entrepreneurial mindset and adaptability to a dynamic environment
What you can expect:
- Fast-paced, result-oriented environment
- Exposure to the latest market insights
- Supportive team and open culture
- Competitive Remuneration
- Regular Team Bonding
- Energetic & Fun Environment
- Flexi Working Hour
- Overtime Meal & Transport
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.