Staff Quant Strategist Engineer

#### How can you make an impact:

• Modeling and validating the economics of Aave products — including yield mechanics, rate dynamics, risk parameters, and scenario analysis

• Contributing to the design of new products and protocol mechanisms alongside engineering and product teams

• Supporting growth-side decisions where quantitative input is valuable — asset listings, incentive design, partner economics

• Building tooling and dashboards that make quantitative reasoning a shared capability across the organization

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#### Let's connect if you have:

• Strong quantitative foundation — comfortable with stochastic processes, optimization, simulation, and statistical modeling

• Strong Python skills for modeling, simulation, and on-chain data analysis (pandas, numpy, scipy, web3.py)

• Deep DeFi fluency — you understand how lending markets, AMMs, and rate models actually work, and you've spent time tracing failure modes (liquidations, depegs, oracle issues, MEV)

• Engineering capability — you can prototype your own models, and read/contribute to Solidity well enough to collaborate meaningfully with smart contract engineers

• Communication — you can take quantitative work and explain it to non-quant stakeholders (founders, partners, growth, product) without losing rigor. You're comfortable in commercial conversations and can shape them with quantitative input rather than just answering questions.

• Bias to ship — you treat models as decision-support tools, not academic artifacts. You ship work that influences what gets built

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#### Nice to have:

• Published research or writing on DeFi economics, market microstructure, or related areas

• Experience with formal methods, agent-based simulation, or mechanism design

• Background contributing to open-source DeFi protocols

• Experience operating in cross-functional environments where engineering and growth/BD intersect