Staff Quant Strategist Engineer

Aave Labs

84d

About The Position

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.

Requirements

• 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 Haves

• 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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed