Machine Learning & Simulation Engineer
Cenit Finance (acquired by Space and Time)
Job Description
About Cenit
Cenit.Finance is a web3 technology start-up dedicated to helping build the future of finance.
Our mission is to reduce the risk of Decentralised Finance (DeFi) to help in its mass adoption. We develop analytical tools that help quantify and understand risk exposure for financial institutions in the ecosystem.
Our first product is an agent-based simulation engine that lets DeFi protocols measure and mitigate their market risks and optimise their capital efficiency. By feeding off-chain and on-chain data into our simulations along with the protocol's native logic, we obtain a realistic engine that allows protocols to tune their parameters for optimal performance as the market evolves.
We are a team of crypto & data enthusiasts, with different backgrounds, and always ready for new challenges!
The Role
Develop our core agent-based simulation engine and Machine Learning models. This is a full-time position based in Madrid or remote.
Responsibilities
- Help our team in the development of Machine Learning models and agent-based simulations
- Extract understandable and actionable insights from the data generated in our simulations for our customers
- Work in a truly agile environment, able to gather and understand requirements, propose solutions, and build them
- Improve our internal Python SDK
- Design and build software that is highly available, performant, scalable, and extensible
Requirements
- Bachelor's degree in Computer Science or related field, or equivalent knowledge, skills, and industry experience
- 3+ years of engineering experience in the industry
- Proficient in writing Python code and experience working with the Python data science stack
Nice to Have
- Experience with Solana or EVM based smart contracts
- User experience in DeFi protocols
- Experience with software engineering best practices, such as design and code reviews, source control management, or build, testing and operations processes
Benefits
- Remote first company - be based where you want
- Biannual company off-site retreats
- Amazing office in Madrid's City Center
- Laptop and monitor of your choice
- Flexible working hours
Unchain Data provides Web3 data job aggregation as a common good. Jobs are posted by third parties and are not individually verified. Always exercise caution: never download software requested during a hiring process, avoid clicking unfamiliar links in interviews, make sure to verify URLs are legit, and use trusted meeting tools like Google Meet or Zoom.
Further reading
Similar Jobs
Quantitative Researcher
ArbWick · United States
Quantitative Researcher
Mobiskill | WEFY Group · Ville de Paris
Senior Data Scientist / Analyst, Institutional
Polymarket · New York, US
Senior Data Scientist / Analyst, Growth
Polymarket · New York, US
Senior Data Scientist / Analyst, Finance
Polymarket · New York, US
Hiring Web3 data talent?
Get expert help sourcing, evaluating, and onboarding data professionals.

