Machine Learning & Simulation Engineer

Cenit Finance (acquired by Space and Time); Madrid; Remote; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Remote first company

Biannual off-site retreats

Amazing office in Madrid’s City Center

Laptop, monitor of your choose

Flexible working hours

Job summary

Machine Learning & Simulation Engineer at Cenit.Finance is seeking someone to develop our core agent-based simulation engine and machine learning models in a remote-friendly Madrid setting. You will contribute to building scalable software and risk analytics for DeFi protocols.

You will work in an agile environment, gather requirements, implement solutions, and improve the Python SDK while delivering actionable insights from simulations to customers.

Qualifications

• 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.

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.

Skills

Python

Data science stack

Machine Learning

Agent-based simulations

Education

Bachelor’s degree in Computer Science or related field

Tools

Python SDK

Job description

Machine Learning & Simulation Engineer

Develop our core agent-based simulation engine and Machine Learning models

Madrid/Remote

Full-time

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!

Responsibilities

• Helping 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

Education / Experience

• 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

Bonus points

• 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 on where you want :)


• Biannual company off-site retreats


• Amazing office in Madrid’s City Center


• Laptop, monitor of your choose


• Flexible working hours