Data Scientist Quantitative Analyst Numerical Simulation at Impossible Cloud

What you will do

• Simulation Environment: Build a library for simulating an existing token-economic model that captures model dynamics and that allows model stress-testing and parameter optimization.
• Scenario Analysis: Run simulations and analyze simulation outcomes to identify risks, shortcomings, dynamics, and potentials for model improvements.
• Parameter Optimisation: Perform sensitivity analyses and a/b testing on parameter choices, driving the optimization of protocol parameters.
• Collaboration: Educate internal and external stakeholders on simulation techniques and outcomes. Collaborate with cross-functional teams, including engineering, business development, marketing.

What you have done

• Proven ability to perform model simulations using mathematical and statistical tools. Either through relevant academic research or industry experience (e.g. in Consulting, Data Science, Technology, etc.)
• Programming experience, ideally using industry-standard Python libraries (pandas, numpy, cadCAD, etc.).
• Passion and enthusiasm for the vision and mission of Impossible Cloud and the potential impact of decentralizing cloud services.
• A postgraduate degree in STEM/Econometrics/Quant. Finance (or related fields). Can be replaced with relevant work experience.
• [Bonus] Knowledge of web3 technologies, DeFi, token economics.

What we offer

• Competitive salary coupled with direct engagement in your success through an enticing ESOP and token participation program.
• Ideal company stage with established initial revenue and a distinctive edge in the web3 industry.
• Collaboration with serial entrepreneurs (€>250m exit, €>8b market cap) as well as driven and passionate colleagues, leveraging cutting-edge technology.
• Fantastic office situated in a trendy location with access to complementary healthy brain food and a subsidized premium gym membership.