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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Impossible Cloud | Remote | $62k - $67k | |||
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|
Impossible Cloud
$62k - $67k estimated
This job is closed
Data Scientist / Quantitative Analyst - Numerical Simulation (Web3) (m/w/d)
On-site/ Hybrid / Remote
Web3 /
Full-time /
Hybrid
Apply for this job
Impossible Cloud is a B2B cloud platform with a focus on becoming the #1 cloud platform in Europe and beyond. It was founded by serial entrepreneurs who have previously built a billion-euro tech company. While we build a comprehensive suite of cloud products, we are redefining the cloud sector by bridging the gap between web3 infrastructure (DePIN) and mainstream B2B cloud use cases.
We are committed to reinventing the internet and pushing technological innovation to the next level. Your peers include distinguished experts known for their success in web3. Additionally, you will directly work with some of Europe's most accomplished web2 entrepreneurs.
While remote work is available, we strongly encourage regular on-site collaboration with our exceptional team at our Hamburg headquarters.
YOUR IMPACT
We are seeking a Data Scientist / Quantitative Analyst to support Impossible Cloud’s web3 team in designing and optimizing a token-economic network protocol. The ideal candidate will have a postgraduate degree in STEM/Econometrics/Quant. Finance (or related fields) and first experience in quantitative research and simulation programming (preferably in Python).
You will join Impossible Cloud’s web3 team and work closely with our team of economists, engineers, and data scientists on building and refining a library for simulating the token-economic system that will power Impossible Cloud’s decentralized network of data centers. This role requires a solid understanding of economic, financial, and statistical concepts, as well as hands-on experience working with model-based and numerical simulation methods (e.g. Monte Carlo, dynamic systems simulation, structural modeling, agent-based simulations, etc.). As a bonus, you value working together with us in our Hamburg headquarters.
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.
Please be aware that only candidates based in Europe or holding a European work permit and willing to relocate to Europe will be considered for this role.
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.
OUR CULTURE
We are committed to success. We embrace individuals from all backgrounds who share the goal of building a future European cloud champion. We place great importance on trust, ownership, collaboration and open communication, and we value blending remote work with working together in person.
If you are an innovative thinker with a passion for driving success in decentralised technology and the cloud industry, we invite you to apply.
Join a workplace that values your well-being, fosters a vibrant and collaborative atmosphere, and play a key role in shaping 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.
Apply for this job
What do quantitative analyst do?
A quantitative analyst, also known as a 'quant', is a professional who uses quantitative techniques to develop and implement financial models, analyze data, and make investment decisions
Quants are typically employed by financial institutions such as hedge funds, investment banks, and asset management firms
In Web3 quantitative analysts can leverage their expertise in data analysis and modeling to inform investment decisions and help build new decentralized systems and applications
The job of a quantitative analyst can vary depending on the employer and industry, but generally, they use mathematical and statistical models to analyze financial data and make informed investment decisions
They may use programming languages like Python, R, or MATLAB to develop these models
Some specific tasks that a quantitative analyst may be responsible for include:
- Analyzing financial data and identifying patterns and trends.
- Developing and testing mathematical models to predict financial market behavior.
- Designing and implementing trading strategies based on quantitative analysis.
- Decentralized finance (DeFi) analysis: Quants can analyze various decentralized financial protocols to identify opportunities for investment and assess risks associated with these protocols. They may develop models to predict the behavior of decentralized financial instruments and evaluate their performance.
- Cryptocurrency market analysis: Quants can analyze cryptocurrency markets and identify patterns and trends that may be used to inform trading strategies. They can also develop models to predict the price movements of cryptocurrencies based on various factors such as supply and demand, market sentiment, and adoption rates.
- Smart contract analysis: Smart contracts are self-executing contracts with the terms of the agreement directly written into code. Quants can analyze smart contract code to identify potential vulnerabilities and assess the risk associated with the execution of the contract.
- Web3 data analysis: Quants can analyze data from various Web3 platforms and protocols to identify trends and make informed decisions. This may involve developing new techniques for analyzing decentralized data, such as utilizing data from on-chain transactions to gain insights into user behavior and network activity.