At a Glance
- Tasks: Design and deploy real-time fraud strategies using ML models and data analysis.
- Company: Join a leading firm in fraud risk management with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities to influence key decisions.
- Why this job: Make a real impact by combating fraud and enhancing security in finance.
- Qualifications: 2-5+ years in fraud analytics, strong SQL and Python skills required.
The predicted salary is between 60000 - 80000 € per year.
What You Will Do
In this role, you will design, test, and deploy real-time fraud decisioning strategies—combining rules and ML models across products and markets, while analyzing high‑volume event data to uncover emerging patterns such as account takeover, synthetic identities, mule activity, refund abuse, and first‑or third‑party fraud. You’ll run champion/challenger experiments and A/B tests and continuously monitor precision/recall, false‑positive rate, approval rate, loss bps, chargeback rate, and customer friction. You’ll build detection features and signal pipelines in close partnership with Engineering, Product, and Data Science; lead incident response during fraud spikes with clear mitigations and post‑mortems; and evaluate and integrate vendor signals device, identity, behavioral, telco, sanctions/PEP, and 3DS where they deliver measurable lift. Above all, you’ll translate insight into action through clear, concise specifications and rollout plans, supported by alerting dashboards and stakeholder updates that drive fast, high‑quality decisions.
Who You Are
- 2–5+ years in fraud strategy/analytics or credit underwriting/risk decisioning within payments, consumer finance, or large‑scale e‑commerce
- Hands‑on with SQL and Python or R to prototype analyses and experiments
- Ownership of a production fraud/credit policy or modeling strategy with demonstrated KPI impact
- Strong experiment design skills (A/B testing, champion/challenger), metric trade‑off evaluation, and post‑deployment monitoring
- Excellent communication with senior stakeholders; able to influence and drive decisions quickly
Awesome to Have
- Experience with fraud/risk vendor ecosystem (e.g., device fingerprinting, identity graphs, behavioral biometrics, 3DS/SCA) and structured evaluation methods
- Knowledge of PSD2/SCA/3DS and TRA exemptions; able to design compliant controls without harming conversion
- Exposure to LLM‑assisted investigations (case summarization, entity extraction, workflow automation)
- On‑call support experience during active fraud attacks and ability to perform under pressure
Senior Analyst/Analytics Manager - Fraud Risk employer: Klarna
As a Senior Analyst/Analytics Manager in Fraud Risk, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. Our company offers competitive benefits, a supportive work culture, and opportunities to engage with cutting-edge technology while making a significant impact on fraud prevention strategies. Located in a vibrant area, we foster a community of forward-thinkers dedicated to driving meaningful change in the financial landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst/Analytics Manager - Fraud Risk
✨Tip Number 1
Network like a pro! Reach out to folks in the fraud risk and analytics space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially those related to fraud detection and analytics. We want to see how you’ve tackled real-world problems and made an impact with your analyses.
✨Tip Number 3
Prepare for interviews by brushing up on A/B testing and champion/challenger strategies. We recommend practising how you’d explain your past experiences and the metrics you’ve influenced. Clear communication is key, especially when talking to senior stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you into that role together!
We think you need these skills to ace Senior Analyst/Analytics Manager - Fraud Risk
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Analyst/Analytics Manager - Fraud Risk. Highlight your experience with fraud strategy, analytics, and any hands-on work with SQL or Python. We want to see how your skills align with what we’re looking for!
Showcase Your Projects:Include specific examples of projects where you’ve designed and tested fraud decisioning strategies. If you've run A/B tests or champion/challenger experiments, let us know! We love seeing real-world applications of your skills.
Communicate Clearly:Since this role involves working with senior stakeholders, make sure your application is clear and concise. Use straightforward language to explain your past experiences and how they relate to the job. We appreciate good communication!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Klarna
✨Know Your Numbers
Make sure you’re familiar with key metrics like precision/recall, false-positive rates, and chargeback rates. Being able to discuss these in detail will show that you understand the impact of your work on fraud risk management.
✨Showcase Your Technical Skills
Be prepared to demonstrate your hands-on experience with SQL and Python or R. You might be asked to solve a problem on the spot, so brush up on your coding skills and think through how you would prototype analyses or experiments.
✨Prepare for Scenario Questions
Expect questions about how you would handle specific fraud scenarios. Think about past experiences where you’ve designed A/B tests or champion/challenger experiments, and be ready to explain your thought process and the outcomes.
✨Communicate Clearly
Since you'll need to influence senior stakeholders, practice explaining complex concepts in simple terms. Prepare to discuss how you translate insights into actionable plans, as clear communication is key in this role.
