Please note: This is an ICN role being handled by the IC GmbH applicant tracking system.
About Us
At Impossible Cloud Network (ICN), we're building the #1 enterprise-grade decentralized open cloud platform for hardware and service providers, as well as developers. Founded by seasoned entrepreneurs who previously built a billion-euro tech company, we're on a mission to revolutionize the cloud industry.
ICN manages and orchestrates connected hardware, acting as the critical network layer to accelerate the transition to an open cloud. By offering a protocol with top-quality DePIN nodes, ICN ensures a decentralized, enterprise-grade alternative to AWS and creates a secure, performant, and cost-effective open cloud trusted by the world's largest companies.
Join our team of distinguished experts renowned for their success in Web3, alongside some of Europe's most accomplished Web2 entrepreneurs, and be part of transforming the cloud landscape with cutting-edge technology and unparalleled expertise.
About the Role
We are seeking a Quantitative Analyst to lead the design, validation, and integration of tokenomics within our protocol. The position requires the ability to construct and refine advanced economic models with exacting precision, ensuring that outputs remain robust under stress and adversarial testing.
The role involves applying quantitative methods and machine learning techniques to complex, high-dimensional datasets, with results expected to meet uncompromising standards of accuracy and reproducibility. Outcomes will directly inform protocol architecture and strategic decision-making.
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.
Our Culture
Join us in building Europe's next cloud champion. We are committed to success and driven by a shared vision to build a decentralized future.
We believe the best ideas are forged in person. That's why we value regular, in-person collaboration and open communication at our Zug, Switzerland headquarters. If you're an innovative thinker with a passion for success in decentralized technology and the cloud industry, we want you on our team.
At our core, we're a workplace that values your well-being, fosters a vibrant and collaborative atmosphere, and empowers you to shape the future of the cloud.
Our Hiring Process
Application Submission
We encourage you to kickstart your application by submitting your comprehensive LinkedIn profile or CV along with the designated application form.
Kickoff Call for Selected Candidates
Successful candidates will be invited to participate in a Kickoff call, where we aim to explore your qualifications, experiences, and expectations.
Efficient Interview Process
Our commitment is to complete the hiring process in 2 to 4 additional remote and/or on-site steps, according to the specific role and its seniority level. We believe in moving swiftly to welcome exceptional talent into our dynamic workplace.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Tags & focus areas
Used for matching and alerts on DevFound Quantitative Quantitative Analyst Analyst Aws Defi Python R