Imagine working with cutting-edge machine learning models, designing robust and scalable software infrastructure, and collaborating with dedicated colleagues — all while playing a key role in scaling our business even further.
Does this sound exciting? Then you might be our new Quant Infrastructure Engineer at Alipes Capital.
At Alipes Capital, we have been a market leader in automating financial markets since our inception in 2008, pioneering fully automated natural language processing systems to read and interpret financial news.
To accomplish our goal of being the best at what we do, we are focused on building a world-class ML engineering workflow, ensuring seamless training, deployment and monitoring of our predictive models.
As a core member of the Quant team, your work will be instrumental in developing the infrastructure enabling us to transform massive unstructured financial data sets into production-ready inference models that drive real-time trading decisions. You will work with technologies such as Python, Kubernetes, Ray and Airflow.
In doing so, you will get a chance to develop and maintain the infrastructure needed for scalable, high-performance ML systems, ensuring a seamless pipeline from dataset generation through model prototyping to production deployment.
Key responsibilities include:
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 Quant team, prioritize your work and choose the tools that get the job done. We are a tight-knit modeling team with passionate quantitative researchers covering 9 nationalities – a mix of PhD’s and 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 are willing to engage on a deep, technical level of understanding.
About you
Nice to have
What we can offer you
Practicalities
To apply, please send us your CV. 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.
If you have specific questions about the role, you are welcome to email us at quant_jobs@alipescapital.com. Please do not send in your applications to this email address, as our interview team will not have visibility to review.