FP&A Analytics Lead

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 FP&A Analytics Lead for the next phase of growth.

As the FP&A Analytics Lead, you will own the end-to-end data strategy, driver-based forecasting models, and team leadership for our FP&A domain. In this role, you will bridge the gap between complex cloud data architecture and executive financial strategy, transforming granular transactional data into scalable lifetime value models and strategic business intelligence.

• Lead, mentor, and build a high-performing team of data analysts while owning the FP&A analytics roadmap.

• Architect and maintain rolling forecasting engines, vintage performance curves, and driver-based models for Group revenue.

• Write production-grade SQL and Python scripts to model financial and operational data in AWS Redshift.

• Standardize global data definitions and oversee executive BI scorecards in tools like PowerBI or AWS QuickSight.

• Partner with commercial, product, and operations teams to optimize unit economics, acquisition ROI, and cost-to-serve models.

You bring a structured, mission-oriented mindset and a passion for driving alignment across cross-functional teams. You thrive when translating complex financial datasets into clear strategic narratives, and you are motivated to build scalable frameworks that support rapid scaling in a regulated Fintech context.

• Several years of progressive experience within data analytics, financial control, or business intelligence, ideally within Fintech or digital banking.

• Demonstrated track record of leading, mentoring, or managing analytics professionals.

• Strong technical capability in SQL, Python, enterprise data warehouses (e.g., Redshift, Snowflake), and modern BI tools.

• Solid grasp of commercial unit economics (CAC, CLV, cohort payback) and core P&L mechanics.

• Degree in a quantitative field such as Engineering, Computer Science, Econometrics, Statistics, or Finance.

This is the place to be if you’re looking for a place to grow. 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 cutting-edge techniques, full ownership, and last but not least a bunch of great competent colleagues to learn from!

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.

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