About the Role:
We're seeking an experienced Quantitative Researcher / Trader to lead the design and development of high-performance trading strategies and systems across crypto and eFX. You'll own the full research and execution pipeline. from signal discovery to live deployment. This is a hands-on role ideal for someone with a builder mindset, strong system development skills, and a passion for uncovering trading opportunities through data.
Responsibilities:
- Lead the end-to-end research and development of quantitative trading strategies with a primary focus on crypto and eFX markets
- Build and scale research infrastructure and trading systems from the ground up, including alpha research, signal generation, backtesting, and optimization
- Analyze high frequency crypto market data such as order book dynamics, on chain metrics, and alternative datasets to identify market inefficiencies and trading opportunities
- Design and deploy predictive models for price movement, volatility, liquidity, and other crypto specific dynamics
- Develop and refine low latency market neutral strategies that leverage on chain data, decentralized protocols, and direct interaction with smart contracts
- Collaborate closely with engineering teams to integrate models into production grade systems
- Utilize custom datasets and internal analytics tools to guide model development, strategy execution, and performance tuning
- Partner with internal stakeholders across tech and trading teams, especially Chinese speaking colleagues, to align research priorities and ensure effective implementation
- Mentor and manage junior researchers and engineers as needed to grow and strengthen the team
Requirements:
- Master's degree or above in a quantitative field such as Computer Science, Physics, Statistics, or Financial Engineering
- At least 6 years of experience, with a minimum of 3 years running trading strategies end to end
- Background in high-frequency trading, preferably in market-making or latency-sensitive environments
- Exposure to infrastructure scaling or leading quant research teams
- Proficient in Python; experience with C++ is a strong advantage
- Proven ability to build trading systems or research platforms from scratch
- Familiarity with high-frequency or low-latency trading infrastructure
- Strong problem-solving and analytical thinking
- Fluent in Chinese for internal collaboration
- Deep interest in crypto and decentralized markets
- Ability to quickly adapt to new technologies and shifting market structures
- Experience with DeFi protocols, DEXs, or on-chain liquidity venues is a plus.
If you're a top-performing quant or HFT trader with a curiosity for crypto, a passion for building from the ground up, and a drive to operate in fast-paced, data-intensive environments, we'd love to connect.
