Head of Digital Assets & Tokenization managing enterprise technology strategy for TD to deliver tokenized deposits and digital asset capabilities. Leading engineering delivery and compliance in a regulated environment.
About the role
- Crypto Economics Researcher at Avalanche Foundation focusing on economic strategy, protocol design, and ecosystem growth. Conducting empirical research and providing actionable recommendations for blockchain ecosystems.
Responsibilities
- Conduct rigorous theoretical and empirical research on blockchain ecosystems, market dynamics, incentives, and network sustainability.
- Contribute to protocol design, evaluation, policy, and improvements based on research.
- Build models, datasets, and analytical frameworks that help evaluate strategic and economic tradeoffs.
- Analyze on-chain, market, and ecosystem data to generate decision-ready insights.
- Translate complex research into clear recommendations, actions, and knowledge resources.
- Stay at the forefront of cryptoasset research.
Requirements
- A quantitative background in economics, finance, mathematics, statistics, computer science, data science, or another related field.
- Strong empirical research and modeling skills, including but not limited to a mix of; structural estimation, causal inference, time-series analysis, machine learning, asset pricing models, simulation methods, mechanism design, market microstructure, and game theory.
- 3+ years of experience in an applied economics, quantitative research, data science, or related analytical role.
- Experience building data-driven research products, analytical frameworks, models, and tools that inform strategy, investment, product, or policy decisions.
- Proficiency and demonstrative experience with Python and SQL.
- Familiarity with crypto, blockchain ecosystems, DeFi, tokenomics, staking, or digital asset markets is preferred.
- Excellent written communication skills and analytical judgment. (We care about rigorous thinking, but also care about producing work that helps real decisions get made)
- Comfort owning and addressing ambiguous, open-ended problems from end to end.
Benefits
- Full autonomy—real ownership of your work, not just a ticket queue.
- Small team, high impact. What you build directly shapes ecosystem strategy.
- Remote-first, async-friendly culture.
- AI-forward engineering culture—we actively use and invest in AI tooling to ship faster
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