Data Scientist

Machine Learning
Madrid, Spain

Job description

Posted on: 
October 18, 2021

About Boopos

Founded in 2020 by a team of technology and finance professionals, Boopos provides flexible financing for digital companies with a focus on acquisition financing. We help to buy businesses by providing long-term revenue-based financing without personal guarantees. Our process is streamlined to provide loans in 7 days and revolves around our proprietary B0012 scoring model, with the goal of assessing revenue recurrence and visibility.

We are a small team but we want to make a big impact: small companies are hugely underserved financially, and typically have access only to very expensive, very short-term financing opportunities. Buying companies and being a small business owner is even less accessible to entrepreneurs, wannabe managers or small companies that want to grow their portfolio. 500,000 small businesses are put for sale every year in the US alone and we can change the game and make the space more accessible for everyone.

About the Role

We’re seeking a Data Scientist to help evolve our scoring and risk analysis platform, building a robust set of tools to underwrite loans easily. Our goals are (a) detect very successful businesses (b) minimize risk factors (c) increase analysis throughput. What makes us win our market is our ability to analyze a large volume of opportunities in a small time frame, so evolving and optimizing our models are a core component of our business.

Working alongside the rest of the team (finance, technology, origination), you will help us in our mission to make small business loans readily available for those who need it.


  • Develop new machine learning models
  • Build and enhance prediction algorithms
  • Work with engineering team to deploy new models that you've created

Job requirements

  • Bachelor's degree in data, engineering or related fields
  • Knowledge of pattern recognition & ML fundamentals
  • Use of Python data structures and familiarity with data API access setup
  • Strong verbal, written, and organizational skills
  • Strong command of English, which is our working language

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