JOB DESCRIPTION
Dedicated to powering entrepreneurs, Qred is a profitable, high-growth fintech scale-up that has recently received a Swedish bank license. Ranked by Financial Times as one the fastest growing companies in the EU for four consecutive years, we are a well-capitalized, founder-led company, characterized by efficient decisions and a flat organization. With our team of more than 200 Qredsters covering 6 EU markets, we are now looking for an Engineering Manager to help lead the next chapter in our growth journey as a bank ?
What You’ll do at Qred
We are looking for a skilled Machine Learning Engineer to spearhead our latest initiative in predictive model development. This role involves working on the forefront of financial technology to develop and test proof of concept models using Python and TensorFlow. You’ll have the opportunity to transform cutting-edge research into practical, innovative solutions that pave the way for our ML journey.
- Develop and optimize neural network models, using Python and TensorFlow.
- Read and synthesize academic and industry papers to identify innovative methodologies that can be applied to our work.
- Test, evaluate, and refine models based on innovative approaches, aiming for breakthroughs in predictive accuracy and efficiency.
- Early-stage development and conduct proof of concept modeling to evaluate the feasibility of candidate models, focusing on pioneering predictive capabilities and assessing their potential integration into our financial solutions.
- Work closely with our data science teams, contributing insights and methodologies that can be scaled and integrated into broader projects.
- Document development processes and findings, presenting complex models in an accessible manner to stakeholders.
Here’s what we’re looking for
- Strong proficiency in Python and TensorFlow (or PyTorch), with a solid understanding of neural network architectures and machine learning algorithms.
- Ability to read, understand and implement concepts from research papers and technical documents.
- Experience in developing and implementing machine learning models into production is highly regarded, but not essential.
- Excellent problem-solving skills, with a keen interest in exploring and testing novel methodologies.
- Strong educational background in a relevant field (Computer Science, Mathematics, Statistics, or related disciplines).
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.
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 in collaboration with a bunch of new competent colleagues!
One last thing – if you’re about to send in your application
This is a full-time, permanent position based in our headquarters in central Stockholm. Don’t wait to send in your application! We’re reviewing applications on a rolling basis and 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.
