Senior Software Engineer - Python - Identification
Berlin, Germany /
On our path to becoming the world’s favorite way to shop, we’re assembling an unparalleled global talent network, accelerating individual careers, and disrupting entire industries. We are on a mission to liberate humanity from all the meaningless time spent managing their purchases and finances, so they can do more of what they love. We’re in search of global talent eager to embrace our atmosphere and defy their own expectations.
The Identification Team is a key stakeholder in assessing a risk of Klarna main product - Pay Later.
Our main product are CIDs (Customer IDs). CIDs are used as an aggregation key to collect “facts” about the customers, these “facts” are then made available as Credit Variables in the underwriting process for returning customers.
Our mission as identification is to provide Klarna with tools for an accurate identification of returning customers, with the purpose of simplifying their shopping experience while simultaneously minimising risk. All of that within 200 ms.
In this role, you will play a key role in ensuring that our platform can accurately and quickly identify customers, providing great value for our business. You will make a direct impact on Klarna Risk assessment. You will help us to improve on our model and our integration with other systems.
We are currently a team of 4 Engineers, located in Berlin.
Why should you join? Apart from solving complex and impactful engineering problems you will have a chance to improve on your leadership skills. We will allow you to lead your own project and organise the work around it. Also, if you are seeking for impact, and making connections, our team is a perfect place. You will get a chance to work with external stakeholders, such as architects, and engineers / leads from other teams.
- Build and maintain scalable, high-performance software systems that can handle millions of customers.
- Collaborate with other teams to integrate identification capabilities into our platform.
- Work with the team to ensure our algorithms are continually improved, adapting to new challenges and business requirements.
- Keep up-to-date with emerging trends in machine learning and software engineering.
- 2+ years of software development experience with one or more general-purpose programming languages, including but not limited to Python and/or Java, Erlang, Scala.
- Bachelor’s degree (or higher) in Computer Science or a related discipline.
- Great problem-solving abilities.
- Working proficiency in English.
- Willingness to learn new technologies and move between different tech stacks.
- Experience with machine learning and data analysis is a plus.
Joining our Identification Team offers the opportunity to work with cutting-edge technologies and be part of a dynamic and innovative team. If you are a self-motivated individual who is passionate about software development and machine learning, we encourage you to apply.
What we offer:
Diversity & Community
With our diversity of skills, perspectives and backgrounds, we can create, innovate, and disrupt like no other. Diversity is part of who we are, and essential to our success.
Ownership & Impact
Here, every voice matters. We’re organized into hundreds of small teams, each run like a start-up, focused on their own problem-space.
Trust & Collaboration
Successes and failures are won together at Klarna in a melting pot of teams. Win, lose, and learn, we’re on this path together.
If you love what you do, you should love where you do it. We appreciate that everyone’s different and has their own preferences of where and how to work. We genuinely believe in the power of regular face-to-face interactions in building close connections with our teams, but we also strongly believe people can work effectively remotely. This means that combining both is the key to success.
At Klarna, You can choose between working from the office, hybrid within your employment country, or even outside of it for up to 20 working days per year. Flex it up!
Challenges & Rewards
We take a very Swedish approach to benefits. Support for parents, health and wellness perks—we’ve got you covered.
Since 2005 Klarna has been on a mission to revolutionize the retail banking industry. With over 150 million global active users and 2 million transactions per day, Klarna is meeting the changing demands of consumers by saving them time and money while helping them be informed and in control. Over 450,000 global retail partners, including H&M, Saks, Sephora, Macys, IKEA, Expedia Group, and Nike have integrated Klarna's innovative technology to deliver a seamless shopping experience online and in-store. Klarna has over 6,000 employees and is active in 45 markets. For more information, visit Klarna.com
It is our commitment that every qualified person will be evaluated according to skills regardless of age, gender, identity, ethnicity, sexual orientation, disability status or religion. Please refrain from including your picture and age with the application.