Experienced Quantitative Trader
Kronos Research engineers quantitative trading and liquidity infrastructure for global digital-asset markets. It serves exchanges, protocols, institutions, investors, allocators, and founders.
About Kronos Research
Kronos Research provides technology-driven quantitative trading and liquidity solutions across global digital-asset markets. Its services include market liquidity provision for protocol tokens and exchanges, investment solutions and structured products, systematic OTC liquidity for major digital assets, and strategic venture investing in digital-asset companies. Its products and services are offered exclusively to professional or qualified investors.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Manage and optimize portfolios using systematic quantitative strategies, develop and implement cryptocurrency trading strategies, analyze crypto assets and market trends, collaborate with research and technology teams, manage risk, and communicate performance to senior management.
Requirements
- Exceptional educational background from a top-tier global institution.
- Solid live trading track record with consistent returns on CEX and/or DEX.
- Previous proprietary trading firm or hedge fund experience is highly preferred.
- Strong quantitative research, risk management, and statistical analysis skills.
- Strong programming and automation skills, including Python, C++, Rust, or Golang.
- Deep understanding of cryptocurrency, DeFi, tokenomics, and blockchain technology.
- Curiosity about new technologies and research papers.
- Experience with global asset classes and prediction markets such as Kalshi and Polymarket.
Responsibilities
- Manage and optimize portfolios using fully systematic quantitative strategies.
- Develop, backtest, and implement cryptocurrency trading strategies.
- Analyze crypto assets and market trends for data-driven investment decisions.
- Collaborate with quant researchers, data scientists, and technology teams.
- Monitor and manage trading risks.
- Communicate portfolio performance and risk analysis to senior management and stakeholders.
