Credit Risk Analyst

At Qred, we’re building the world's best bank for small businesses. Since launching 11 years ago, we’ve grown from startup to profitable fintech scale-up, now generating over 1 billion SEK in annual revenue and supporting 50,000+ entrepreneurs across Northern Europe. We combine smart technology, real data, and human judgment to make financing simple, fast, and fair.

With bold growth plans and strong momentum across multiple markets, we’re now looking for a Credit Risk Analyst with a focus on our credit card products to join our team. About the Role In this role, you will play a key part in analyzing and supporting our credit card portfolio within the Credit Domain, helping us bridge the gap between risk data, automated execution, and commercial impact.

You will work closely with senior colleagues to monitor, analyze, and optimize underwriting processes, limit adjustments, and portfolio behavior specifically for our business credit card offering. By combining data analysis with a strong interest in card products, you will help us ensure safe, scalable, and customer-centric portfolio growth across Northern Europe.

Key Responsibilities Analyze and monitor portfolio performance, usage patterns, and risk trends specifically for our business credit card product. Assist in developing and tuning automated frameworks for credit limit adjustments, risk scoring, and card underwriting. Build and maintain dashboards using SQL and Python to track credit card metrics, loss performance, and key risk indicators.

Work closely with Product, Engineering, and Data Science teams to streamline card issuance, credit decisioning, and customer journeys. Support the evaluation and updating of card-specific credit policies and risk models based on real-world portfolio data. What We’re Looking For We are looking for a curious, structured, and analytical problem-solver who is passionate about card products and eager to grow within credit risk analytics.

You thrive in a collaborative environment where you can work hands-on with data, learn from experienced peers, and turn practical insights into better risk decisions. Qualifications Degree in Finance, Engineering, Economics, Computer Science, or another relevant quantitative/business field (or equivalent practical experience).

A few years of experience working with data analysis or risk analytics, ideally with exposure to credit card products, digital lending, or consumer/SME credit. Good hands-on skills in SQL and Python for quantitative data analysis. Familiarity with visualization tools such as Power BI, QlikView, or Amazon QuickSight.

A genuine interest in fintech, credit card mechanics, and digital credit risk management. Why Qred? This is the place to be if you’re looking to kickstart or accelerate your career.

Qred is growing fast, and our Qredsters along with it. With a non-bureaucratic organization and delegated responsibilities, we make sure there’s a short path from idea to action. In addition to our great culture, you get to work with the latest techniques, gain real ownership early on, and learn directly from a team of highly skilled colleagues!

One Last Thing This is a full-time, permanent position based in our headquarters in Stockholm. We believe our culture thrives when we work together, which is why we have an office-first approach. To balance this with some flexibility, we have the option of working remotely one day per week.

We review 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. #LI-Onsite