At QuantCube Technology, we believe that a successful company is only as good as its people.
If you are passionate and eager to work in a dynamic and international environment, our company is the right place for you. Whether you are a new grad, have years of experience or even looking for an internship, there is certainly a role here for you.
Time at QuantCube Technology is time spent applying your skills and knowledge to real-world problems, trying to find new ways to innovate and build a future where data can be leveraged to create value. By joining our team, you will be part of a group of people working together to develop the next generation of analytics and algorithms and a company that values initiatives and the very best ideas.
Data Scientists, Developers, Infrastructure experts, Financial engineers, Sales… The profiles we are looking for are numerous and diverse. If you want to be part of the adventure, do not hesitate and send us your application. We will be more than happy to review it and invite you to meet our great team.
We are looking for a person who has the soul of a hunter, tenacious and determined, experienced in negotiation. Customer satisfaction will be your priority. You are driven by an entrepreneurial spirit. You are proactive and you enjoy working in a team. Your ability to take on challenges and your determination will make the difference. You have a successful experience in selling financial products in investment banking or business development in Start-up.
We are looking for motivated data scientist profiles, willing to work in Times Series and also NLP or Computer Vision. Mastering Machine Learning models by classification and regression (Random Forest, decision trees, clustering). Depending on the specialty: NLP (embedding, attention networks), Computer Vision (Deep learning networks, DenseNet), Time Series (ARMA, ARIMA etc)
You have strong skills in Web development and in particular on HTML / CSS / Javascript technologies; Database technologies (SQL, MongoDB …) ; UI design, creation of simple and reusable interfaces; UNIX commands and Linux development; Good development practices : Versioning, testing; Data Visualization