Imagine working with cutting-edge machine learning models, crunching high frequency data sets and sparring with exceptional and fun colleagues, all while taking part in scaling our business even further.
Does this sound highly appealing to you? Then you might be our new Machine Learning Researcher at Alipes.
At Alipes, we have been the market leader in automating the financial markets since we started back in 2008, shaping a fully automatic natural language processing system for reading and interpreting financial news.
To accomplish our mission of being the best at what we do, we understand the importance of elevating our predictive modeling standards to the highest levels. Your work will involve leading the efforts in creating a world class modeling workflow, enabling the team to seamlessly turn 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 software infrastructure challenges, 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.
About the team
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 impact the direction of the team, prioritize your work and choose the tools that get the job done. We are a tight-knit modeling team with fourteen passionate quantitative researchers covering 6 nationalities – eleven PhD’s and three MSc’s with expertise in statistical analysis, mathematical modeling 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 traders that implement 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.
About you
Nice to have
What we can offer you
Practicalities
To apply, please send us your CV and, in lieu of providing a cover letter, concisely answer the questions on the application. If your profile looks like a good match, we will get in touch to coordinate an online technical test as a first step in the interview process.
Should you have questions about the role that you would like clarified before applying, you're welcome to send an email to quant_jobs@alipescapital.com. Please note that applications should not be sent to the email address but rather via the job link.