Quant & Optimization Researcher
/
Research & Growth
Remote
What you'll do
Develop optimization algorithms for capital allocation
Model yield volatility, risk parameters, and rebalancing thresholds
Maintain and test the off-chain routing engine
Collaborate with the engineering team to integrate models on-chain
Publish internal research and contribute to open DeFi datasets
Who you are
Strong background in quantitative finance, data science, or applied math
Proficient in Python, NumPy, and optimization frameworks (e.g., SciPy, PyTorch)
Understanding of DeFi, yield farming, and Solana ecosystems
Able to convert mathematical concepts into production-ready code
What we offer
Competitive compensation
Flexible, research-driven work structure
Remote-first environment
Work at the intersection of DeFi and algorithmic optimization