Machine Learner / Data Scientist

Do you want to learn from a highly-skilled team that uses cutting edge techniques in Machine Learning and Algorithmic Trading? Alipes is looking for a quantitative analyst that will help us grow further. Since starting in 2008, we have become the market leader, creating a fully automated natural language processing system for interpreting and trading on financial news.

Your work will involve turning massive data sets of financial information into mathematical models that accurately predict movements in the equity markets. In doing so you will:

  • Develop and calibrate machine learning models ranging from simple regressions to state-of-the-art deep neural networks,
  • Seek out and manage new data sources for our models,
  • Automate monitoring and benchmarking of the trading strategies.

You will see rapid validation of your work and experience short feedback cycles, where going from inception to deployment can be a matter of hours. There is no red tape and no sales people and there is ample room for creativity.

We are a tight-knit modelling team consisting of seven passionate analysts – five PhDs and two MSc with expertise in statistical analysis, mathematical modelling and machine learning. We enjoy collaboration and are more than willing to guide you when in need. We work alongside a team of software developers and a team of economists who implement and conceive the trading models with us. All team members write code and understand that a seemingly trivial change can actually require a lot of work, and vice versa.

Need to have

  • Aptitude for programming in a numerical scripting language (we use Matlab and Python),
  • High degree of comfort with mathematical topics such as Linear Algebra, Probability and Optimization,
  • A scientific and inquisitive mind.

Nice to have

  • Experience working with financial data,
  • Familiarity with software engineering (version control, unit testing, object oriented-design),
  • Familiarity with C# or C/C++,
  • Degree in a quantitative discipline.


For more information about the job and our business please contact us at contact@alipescapital.com.

We aim to respond within a week of receiving the application. Afterwards you will be invited to an interview, which is followed up by a day of compensated work at our office. If you believe we are the right match for you and vice versa, you are hired.