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Tokenomics designer

Audenarde
CDI
Quant Capital US LP
Design
Publiée le Publiée il y a 15 h
Description de l'offre

Company Description

Quant Capital specializes in developing advanced strategies to navigate unstable financial markets. The company is committed to leveraging efficient algorithmic modeling, flexible backtesting environments, and low-latency execution. This approach allows for precise quantitative measurement of risk and return attached to various positions. By combining qualitative analysis with innovative technology, Quant Capital delivers a distinct competitive edge to its expertise within the financial sector.

About the Role

We're looking for a Tokenomics Designer to design and analyze token economic models for our investment portfolio and internal protocol development. This role focuses on creating sustainable incentive structures, modeling token supply dynamics, and evaluating the economic viability of crypto projects.

You'll be responsible for designing token distribution mechanisms, analyzing protocol economics, building simulation models, and providing tokenomics due diligence on investment opportunities.

What You'll Do

* Token Model Design: Design comprehensive tokenomics frameworks including supply schedules, distribution mechanisms, emission curves, and incentive structures
* Mechanism Design: Create game-theoretic models for staking rewards, governance mechanisms, liquidity mining, and protocol fee structures
* Economic Modeling: Build quantitative models and simulations to test token economics under various market conditions and user behaviors
* Protocol Analysis: Evaluate tokenomics of existing DeFi protocols, DAOs, and crypto projects; identify sustainability risks and value accrual mechanisms
* Investment Due Diligence: Provide tokenomics assessments for potential investments – analyze inflationary pressures, token utility, and long-term viability
* Optimization: Recommend improvements to existing token models to enhance sustainability, reduce extractive dynamics, and align stakeholder incentives
* Research & Documentation: Produce detailed tokenomics reports, whitepapers, and modeling documentation for internal and external stakeholders

Must-Have Requirements

3+ years experience in tokenomics design, crypto economics, or mechanism design

Proven portfolio of token models you've designed or contributed to (please provide examples)

Strong foundation in game theory, mechanism design, and economic modeling

Deep understanding of DeFi protocol economics (AMMs, lending protocols, liquid staking, ve-tokenomics, gauges)

Proficiency with quantitative modeling tools (Python, R, or similar) for simulation and scenario analysis

Experience analyzing token distribution models, vesting schedules, and emission curves

Ability to identify flawed tokenomics and propose sustainable alternatives

Strong analytical and problem-solving skills with attention to detail

Nice to Have

* Academic background in economics, mathematics, computer science, or related quantitative field
* Experience with agent-based modeling or Monte Carlo simulations for crypto economics
* Published research or thought leadership on tokenomics, mechanism design, or crypto economics
* Understanding of governance mechanisms (quadratic voting, conviction voting, delegation)
* Knowledge of MEV dynamics, liquidity incentives, and protocol-owned liquidity
* Familiarity with Solidity or smart contract development
* Experience working at a DeFi protocol, crypto VC fund, or research organization
* Background in traditional economics, monetary policy, or financial modeling

What We Offer

* Fully remote – work from anywhere with flexible hours
* Annual compensation: €55,000 - €83,000 (based on experience) plus performance-based bonuses
* Creative freedom – design innovative token models and experiment with novel mechanisms
* High-impact work – your designs directly influence investment decisions and protocol development
* Collaborative environment – work with quant researchers, traders, and blockchain engineers
* Research budget – attend conferences, access to premium data and modeling tools
* Learning culture – stay at the forefront of crypto economic research and innovation
* Portfolio exposure – analyze tokenomics across the entire crypto landscape

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