We strongly believe that the financial system will best serve society with fair, open and efficient markets. Our mission is to level the playing field in the financial industry, by making state-of-the-art AI technology accessible to investors worldwide.
We are building a tool to continuously sift through enormous amounts of data from a broad range of sources. We use machine learning trained on a decade of historical data, to analyse, compare and make connections in the data. Think of it as having a room full of quantitative analysts working only for you, day and night.
Exabel is a uniquely challenging project, and we put a lot of care into building robust and elegant solutions.
We combine sophisticated mathematics with new machine learning approaches, to build an AI system specifically designed to handle complex, time-varying data sets.
We are a young company, and we are conscious of establishing a stimulating culture in the team. We do well when you do well. To get a glimpse of what life at Exabel might be like, check out our guide for new employees.Guide for new employees →
We are a senior team of mathematicians, software engineers, designers and entrepreneurs. The team has experience from Google, Medallia, Intelligent Trading, Citadel – to mention a few. We are not strangers to the challenges of building high-quality software.
We are building tomorrow’s technology, and we encourage the team to visit and/or speak at conferences within their domain.
We are happy for team members travel to relevant conferences, and we will also reimburse you for the expenses.
In addition to a competitive pay, we offer stock incentives.
With the massive potential in the software that we are building, there is also a significant financial upside.
All team members will get a chance to take part in that upside.
We sit in a comfortable 500 sqm office space in downtown Oslo, within walking distance of everything you need, including the main transport hubs.
We offer a warm and healthy lunch every day – for free.
There’s also several really nice cafés in the neighborhood, where you can get your coffee fix, have some pastry, or do some reading.