Quantitative Researcher
Monad Foundation · Remote · Remote ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- 3+ years quant experience
- HFT background preferred
- Python: numpy, pandas
- Crypto market focus
Monad Foundation seeks a quantitative researcher to address market structure challenges in the Monad blockchain ecosystem. You will identify issues across the trading landscape and uncover opportunities to enhance trading performance.
The role requires owning initiatives from concept to execution, combining quantitative rigor with intuition about market behavior. You will analyze venues, assets, and participants to drive data-informed decisions.
What you'll do
- Solve greenfield problems related to onchain trading activity and liquidity
- Analyze user behavior, venues, and assets across the ecosystem
- Develop data-driven views on market structure and dynamics
- Implement analytical workflows from exploration to production
- Identify and address issues in the trading landscape
What you'll need
- At least 3 years of experience in a quantitative role
- Strong understanding of market microstructure and dynamics
- Expert proficiency with numpy and pandas libraries
- Proven track record of building significant projects from scratch
- Preference for prior experience in high-frequency trading
Nice to have
- Familiarity with onchain crypto markets
Stack
- numpy
- pandas
- Monad
- EVM
What you get
- Autonomy to tackle complex technical problems
- Collaborative culture with low ego and high output
- Opportunity to impact global on-chain finance
- Work with a world-class, highly motivated team