Imagine working with cutting-edge machine learning models crunching high frequency data sets sparring with exceptional colleagues
Does this sound highly appealing to you? Then you might be our new Senior Data Scientist at Alipes that will take part in scaling our business even further. We have been the market leader since we started back in 2008 shaping a fully automatic natural language processing system for reading and interpreting financial news.
Your work will involve turning massive data sets of financial information into mathematical models that accurately predict movements in the financial markets. In doing so you will get a chance to tackle a variety of challenging problems such as:
You will get instant validation of your work and experience short feedback cycles, where going from inception to deployment can be a matter of hours. There will be no red tape to cut and no sales people to consult.
All of this will happen in an informal atmosphere where technical discussions are valued, and you are encouraged to take ownership of, and pride in, your work. You will affect the direction of the team, prioritize your work and choose the tools that get the job done.
We are a small modelling team covering seven passionate quantitative analysts – five PhDs and two MSc with expertise in statistical analysis, mathematical modelling and machine learning. We enjoy collaboration and are always willing to lend a helping hand. We are working alongside two other teams of software developers and economists that implements and conceive the mathematical models together with us. What makes this constellation work great is that all of the individual team members write code and understand that a seemingly trivial change can actually require a lot of work, and vice versa.
For more information about the job and our business please contact us at email@example.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.