Data Scientist

You know the feeling when you meet a new person, or start a new job and it just feels right? That's how we would like you to feel when joining the Qred family. We might be a little biased but we can think of a million reasons why Qred is the best place to work, here’s just a few of them:

There is room for everyone! We are a very diverse team that learns from each other. We believe you will do amazing things here - no matter who you are

We’re proud to be the first Swedish company that made it to the top-10 list of Financial Times’ list of the 1,000 fastest growing companies in Europe.

• Our office is located in central Stockholm. We love to hang out across teams and really enjoy each other's company, even off working hours.

Ok, sounds cool but what about the role?

As a Data Scientist at Qred, you’ll be a part of a cross-functional team together with other Qredsters with different tech competencies. We have a few things in mind when we build our teams, but in general, we put together backend developers, frontend developers, and app developers with designers and data scientists, to be able to efficiently do our daily work and create a feeling of ownership for our products. Every team setting is led by an Engineering Manager and a Product Manager, to make sure everyone is included, listened to, aligned, and heading in the same direction.

We are revolutionizing the SME lending space, and we need to keep a high pace and think in weeks rather than years. We believe in and encourage testing and trying new things, and think it's positive to learn from failures and move forward.

You will:

• Make the most of our data in improving the QSA (Qred scoring algorithm) and other decision support models such as CLTV (customer lifetime value)
• Make quantitative risk decisions and visualizing the model output for our underwriters
• Identify new data sources that can be used for decision making and setting up integrations together with our data engineers
• Drive the design of our data infrastructure as one of the key consumers of data

Sounds like a good way of working right? Here’s what we're looking for:

• You are most likely very experienced in SQL and are either fluent in Python or some other modeling language such as R or SAS and have a desire to learn Python.
• You have previously been involved in implementing a machine learning model into a production environment.
• You are inquisitive and enjoy learning new technologies, techniques, and tools.
• You have a doer's attitude and actively contribute to the work we do.
• We also assume you've already got your share of analytics experience, that you love big data sets, and to discover and communicate insights derived from data.

Did you check in those boxes? Here are more reasons to join us

First of all, this is the place to be if you want to develop your skills. The company is growing fast, and our Qredsters along with it. Our non-bureaucratic, flat structure with delegated responsibilities has a short way from idea to action. “Got a cool idea? Good - try it out! Didn’t work? Oh well, on to the next idea!”.

In addition to our great culture influenced by our values Transparency, Innovation and Passion, you get to work with the latest cutting edge techniques offered by AWS, a responsibility for the whole development chain and last but not least a bunch of new competent colleagues to learn from and get to know!

One last thing - if you’re about to send in your application

This is a full-time, permanent position based in our headquarters in Stockholm. Don’t wait to send in your application, we are reviewing applications on a rolling basis. While the start date is flexible, the right candidate can join us immediately.

Qred celebrates diversity and does not discriminate based on ethnicity, religion, national origin, gender, sexual orientation, age, disability status, or any other applicable characteristics protected by law.