Quant Trader
Wavebridge provides institutional-grade digital asset finance solutions.
Projects
About Wavebridge
Wavebridge is a financial technology company that bridges traditional finance with the digital asset frontier. It provides secure, seamless, and scalable solutions for institutional clients, including crypto-infrastructure that evolves with market and regulatory changes. The company's services encompass brokerage with support for blockdeals, custody and safekeeping, and a comprehensive digital asset management platform offering tax and accounting support, balance and P&L reporting, and detailed transaction analysis. Additionally, Wavebridge offers the "Wave Pricing Engine," a tool for accurately pricing derivatives and managing risk. The company is a registered Virtual Asset Service Provider (VASP) in Lithuania, adhering to AML and CTF regulations.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will trade options, structured products, and DeFi strategies in cryptocurrency markets. You will develop and backtest trading strategies, analyze market and DeFi trends, identify trade ideas from alternative data, and apply AI and ML signals and strategies in live trading.
Requirements
- Interest in and understanding of cryptocurrency markets, including CEX, DEX, DeFi, and stablecoins
- 1–3 years of trading-related experience in traditional finance or cryptocurrency markets
- Basic understanding of and willingness to use AI/ML-based trading tools
- Data analysis and quantitative-thinking skills
- Understanding of programming
- Basic English communication skills
Responsibilities
- Trade options, structured products, and DeFi strategies
- Develop trading strategies and structures using trading systems and perform backtests
- Analyze market trends and DeFi markets to identify trading ideas
- Apply AI/ML signals and strategies to options, structured-product, and DeFi trading and validate live-trading performance
- Analyze news, on-chain, social, and other alternative data using LLM and NLP tools
Benefits
- Performance-based profit sharing with no cap
Hiring Process
Document screening > first interview with practitioners, including a 5–10 minute personal-project presentation > second executive interview > compensation discussion and joining coordination > final offer. Pre-employment identity verification is conducted.
