Quantitative Analyst

What you'll be doing

• Research & Analysis: 
• Conduct deep research on competitive projects, market trends, and on-chain data to inform our tokenomics design.
• Modelling & Simulation: Build and refine quantitative models to test and optimise various token designs and incentive structures.
• Data Visualisation: Work with on-chain data to create dashboards and reports that provide a clear view of our token's health and user behaviour.
• Documentation: Collaborate with the team to write clear, concise documentation and internal memos explaining our tokenomics decisions.
• Cross-functional Collaboration: Support the engineering and product teams by translating tokenomics concepts into clear requirements and features.
• Protocol Integration: End-to-end accountability for tokenomics modelling, validation, and flawless implementation within protocol architecture.
• Model Development: Ongoing design and refinement of quantitative models, with outputs required to withstand continuous stress and adversarial testing. 
• Incentive Systems: Design and validation of incentive mechanisms, with resilience and sustainability treated as non-negotiable outcomes.
• Risk Management: Implementation of strict risk frameworks to anticipate vulnerabilities and validate system integrity under adverse scenarios.
• Applied ML & Statistics: Application of advanced ML and statistical methods to large-scale datasets, with accuracy and reproducibility as baseline requirements.
• Economic Dynamics Monitoring: Continuous oversight of value flows to ensure balance, stability, and long-term sustainability.

Who we're looking for

• Bachelors degree in Maths or Physics from a leading academic institution, Masters degree in a related field also required. 
• Proven expertise in quantitative and financial modelling, with experience in building simulation frameworks, stress-testing economic systems and deep expertise in tokenomics design and simulation tools.
• Applied knowledge of advanced machine learning methods, with the ability to apply these techniques to deliver quantitative insights on complex, high-dimensional economic systems.
• Deep understanding of economic incentives and mechanisms, including game theory, risk/reward structures, and profitability trade-offs.
• Knowledge of the Web3 ecosystem, including DeFi, DePIN, and how they intersect with quantitative economics.
• Strong proficiency in Python for modeling, data analysis, and simulation design.
• Hands-on experience with statistical and econometric tools such as R and Stata.
• Ability to independently design and implement complex models, taking full ownership of outputs.
• Excellent mathematical foundation, with the ability to translate theory into practical, quantitative frameworks.
• Comfort with high-pressure, startup environments, demonstrating resilience, problem-solving, and adaptability.
• Strong communication skills, with the ability to clearly present technical outputs to non-technical stakeholders.
• Familiarity with SQL, C++ and other programming languages is a plus.