Delphi Digital is a research platform that provides institutional-grade insights into the cryptocurrency market, helping investors and builders find alpha through actionable data-driven research. Since its inception in 2018, it has gained trust from industry leaders and offers comprehensive analysis of emerging trends, token economics, and market strategies, making it a go-to source for understanding the complexities of the crypto landscape.
Cryptocurrencies • Blockchain • Research • Valuation • Consulting
March 12
Delphi Digital is a research platform that provides institutional-grade insights into the cryptocurrency market, helping investors and builders find alpha through actionable data-driven research. Since its inception in 2018, it has gained trust from industry leaders and offers comprehensive analysis of emerging trends, token economics, and market strategies, making it a go-to source for understanding the complexities of the crypto landscape.
Cryptocurrencies • Blockchain • Research • Valuation • Consulting
• Seeking a highly skilled Token Associate to design and implement tokenomic frameworks. • Produce reports and whitepapers articulating token economies. • Develop valuation models and governance frameworks for client success. • Assist in ecosystem analyses and support litepaper development. • Build and maintain Python-based valuation models. • Collaborate in designing token economic systems and governance frameworks. • Research emergent tokenomic models and apply analyses for business insights.
• 1+ years of experience (or strong internship exposure) in mathematical or statistical modeling, ideally leveraging Python for data analysis and model-building • Familiarity with Web3 concepts (tokens, blockchains, cryptocurrency) and a willingness to learn deeper aspects of smart contracts, DAOs, and on-chain mechanics • Extensive experience with tokens, including creation, minting, yield farming, issuing, burning, and staking • Strong understanding of financial models (NPV, discount rates, bonding curves) and fundamental statistical methods (regression, hypothesis testing), with a willingness to learn advanced approaches • Clear, concise written and verbal communication skills, with the ability to explain data-driven findings to both technical and non-technical audiences • Proficiency in Python (e.g., NumPy, Pandas, scikit-learn) and Excel; willingness to learn other data-analysis tools as needed • Bachelor’s degree in mathematics, statistics, computer science, or another quantitative discipline, or equivalent practical experience • A motivated and driven self-starter
• Competitive salary with performance-based bonuses • Comprehensive health, dental, and vision insurance • Flexible working hours and remote work options • Opportunities for professional growth and development • Access to industry conferences and networking events • Collaborative and innovative work environment
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