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Home / Jobs / Delphi Digital

Token Associate

Delphi Digital

Argentina, Bangladesh, Bolivia, Brazil, Canada +23 moreremotePosted 1 month ago
Delphi Digital logo

Skill Required

TokenomicsBlockchain-AnalysisCryptocurrency-ResearchDeFi-ConsultingWeb3-ResearchToken-Crypto-Investment-AssociateAssociateTrading-AssociateStatisticsSolidityScikit-learnBlockchainnetworkingdesigningbuildingwrittenTestNGPythonPandasdesignNumPyWeb3.jsSQLFulltime

Key highlights

  • $70,000 to $100,000 salary range
  • 1+ years of experience in mathematical or statistical modeling
  • Remote work in North America, South America, or Asia
  • Performance-based bonuses and long-term incentives
  • Comprehensive health, dental, and vision insurance
  • Flexible working hours

Role overview

Delphi Consulting is a research-driven firm advancing the digital asset market through investment, active participation, and strategic guidance across its Venture, Labs, Research, and Consulting arms. The Token Associate role sits within Delphi Consulting, where the team collaborates with web3 companies to define and implement robust tokenomic frameworks, valuation models, and governance structures to drive ecosystem growth and sustainability. The role involves deep analysis, quantitative modeling, and the creation of reports and whitepapers to shape the future of blockchain ecosystems.

Responsibilities

  • Assist in ecosystem analyses by gathering and interpreting data, creating insightful reports using Python-based data analysis and visualization tools, focusing on key aspects of the ecosystem
  • Support the development of litepapers to outline the essential principles of proposed cryptoeconomic frameworks, with an emphasis on quantitative insights wherever relevant
  • Build and maintain Python-based valuation and statistical models to analyze tokenized systems, focusing on fundamental metrics. Use frameworks (e.g., NumPy, Pandas, scikit-learn) to run basic simulations or stress tests under different scenarios
  • Contribute to designing token economic systems by applying quantitative methods (e.g., mathematical modeling of incentive mechanisms, liquidity provisioning, emissions schedules), assisting senior team members in refining and testing these models
  • Collaborate in developing governance frameworks, using data analysis to inform on-chain and off-chain governance structures, community involvement, and participation methods
  • Assist in refining governance structures post-launch by analyzing key governance metrics, helping address questions and update project literature based on quantitative findings
  • Support the development of whitepapers, iterating on the technical and data-driven sections to ensure they meet industry standards for public presentation
  • Actively research emergent tokenomic models and apply statistical or Python-based analyses to identify new trends in the web3 space, sharing quantitative insights with the team

Requirements

  • 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

Nice to have

  • An advanced degree in a relevant field (e.g., mathematics, statistics, computer science) is a plus but not required
  • Prior internship or analyst role in a Web3 or blockchain-focused organization
  • Experience contributing to tokenomic strategies or simulations (e.g., running python-based models or analyses)
  • Familiarity with additional languages (e.g., R, SQL) or statistical software is a plus, especially if it complements Python expertise
  • Awareness of regulatory considerations and compliance in the blockchain space is an advantage but not required

Benefits

  • 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

Additional details

  • Role: Token Associate
  • Location: Remote - North America, South America, Asia
  • Company Description: Delphi Consulting is a research-driven firm dedicated to advancing the understanding and development of the growing digital asset market. Our goal is to continue driving the crypto asset space forward by investing both financial and intellectual capital into projects, participating actively to help shape the ecosystems we believe in. We have multiple arms, including Venture, Labs, Research, and Consulting, each contributing uniquely to our mission.
  • The expected salary range for this position is $70,000 to $100,000. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, depending on the position offered.
  • Originally posted on Himalayas

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LocationArgentina, Bangladesh, Bolivia, Brazil, Canada +23 more
TypeFulltime
SalaryUSD 70000 - 100000
Posted7/30/2026
Apply by9/28/2026

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