| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronosresearch | Remote | $105k - $112k | |||
Divine | San Francisco, CA, United States | $121k - $164k | |||
MLabs | New York, NY, United States | $140k - $300k | |||
Numus | Remote | $85k - $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 | |||
Gsrmarkets | Remote | $64k - $86k | |||
Gsrmarkets | Remote | $90k - $120k | |||
Kronosresearch | Remote | $105k - $112k | |||
Kronosresearch | Remote | $105k - $180k | |||
Coins.ph | Shanghai, China | $81k - $84k | |||
Token Metrics Inc. | London, United Kingdom | $28k - $38k | |||
Token Metrics Inc. | London, United Kingdom | $28k - $38k | |||
Dvtrading | Remote | $105k - $153k | |||
Kronosresearch | Remote | $89k - $102k | |||
AAA Global | New York, NY, United States | $105k - $120k | |||
Lido | Remote | $120k - $140k |
Please note that this is a remote position, candidates are expected to have own work authorization in the country they based at Job Description Kronos Research is a technology and science-driven quantitative trading firm. Driven by our core values, we risk firm capital to pursue new ideas and profit opportunities with conviction and as such, we have been at the forefront of technology and research, quickly dominating newer markets such as applying HFT to cryptocurrency markets globally. We have reached milestones of trading more than $20 Billion USD in a single day alone and more than $ 5 Billion USD of average daily volume. We are always seeking exceptional Experienced Quantitative Traders to join our existing teams and/or start new teams. If you meet the following criteria, we would love to speak with you. Responsibilities:
Manage and optimize cryptocurrency portfolios, employing quantitative strategies to achieve consistent returns. Develop, backtest, and implement trading strategies in the cryptocurrency markets, balancing risk and reward. Conduct deep analysis of crypto assets and market trends to make data-driven investment decisions. Collaborate with quant researchers, data scientists, and tech teams to refine strategies and improve portfolio performance. Monitor and manage risks associated with trading strategies to ensure alignment with firm objectives. Communicate portfolio performance and risk analysis to senior management and stakeholders regularly.
Qualifications:
Exceptional educational background from a top-tier global institution (e.g., Ivy League, Oxbridge, top schools in Asia/Europe). Solid track record of consistent returns on CEX and/or DEX Previous experience at a proprietary trading firm, or hedge fund is highly preferred. Strong proficiency in quantitative research, risk management, and statistical analysis. Strong programming and automation skills (Python, C++, Rust, Golang, etc.) to implement, refine and execute strategies
Preferred Skills and Experience:
Deep understanding of the cryptocurrency landscape, including DeFi, tokenomics, and blockchain technology. Curious about new technologies and research papers
What is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.