Staff Quant Strategist Engineer

About us Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?   We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.   Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally Our culture We build trusted products that help people access and discover economic opportunities.   We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.   We’re a global team building products people can actually use, turning complex technology into something simple and reliable.   We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact. About the role Aave is expanding its quantitative capabilities. We're hiring a senior Quant Strategist Engineer to join a growing team that operates at the intersection of engineering, product, and growth — owning the modeling, validation, and design work that underpins how Aave builds its products and how it grows them. This isn't a pure research role and it isn't a pure engineering role. It's for people who can rigorously model on-chain economics, translate that work into product, protocol, and partner decisions, and ship.

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

Let's connect if you have:

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

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

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