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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Impossible Cloud | Zug, Switzerland | $87k - $150k | |||
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Impossible Cloud
$87k - $150k estimated
Quantitative Analyst
Zug
Web3 /
Full-time /
On-site
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Please note: This is an ICN role being handled by the IC GmbH applicant tracking system.
What we do
At Impossible Cloud Network (ICN), we are pioneering 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 are 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 highly motivated and curious Quantitative Analyst to join our team. This is a foundational role for an ambitious individual who is passionate about the future of decentralised systems and eager to build a career at the intersection of economics and technology. You will work closely with our senior team to design, model, and analyse the economic infrastructure of our blockchain protocol, ensuring its long-term health and stability. This is a hands-on position where you will have direct ownership of your work. Your contributions will have a direct impact on our product, and you will receive mentorship to grow your skills in this cutting-edge field.
What you'll be doing
- Research & Analysis:Â
- Conduct deep research on competitive projects, market trends, and on-chain data to inform our tokenomics design.
- Modeling & Simulation: Build and refine quantitative models to test and optimise various token designs and incentive structures.
- Data Visualization: Work with on-chain data to create dashboards and reports that provide a clear view of our token's health and user behavior.
- 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.
Who we're looking for
- Bachelors degree in Maths or Physics from a leading academic institution, Masters degree in a related field also required.Â
- 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.
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What is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.