At a Glance
- Tasks: Design and deploy real-time fraud strategies using ML models and data analysis.
- Company: Leading firm in payments and consumer finance 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 financial transactions.
- Qualifications: 2–5+ years in fraud analytics, strong SQL and Python skills, and excellent communication.
The predicted salary is between 60000 - 80000 € per year.
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 in London 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 tackling real-world challenges in fraud prevention. Located in a vibrant area, we foster a community of forward-thinkers dedicated to making impactful decisions that drive success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst/Analytics Manager - Fraud Risk in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fraud risk 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 role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially those related to fraud 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 running through some mock interviews with friends or mentors to get comfortable discussing your experience and insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Analyst/Analytics Manager - Fraud Risk in London
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 and Python or R. We want to see how your skills align with what we’re looking for!
Showcase Your Achievements:When detailing your past roles, focus on specific achievements that demonstrate your impact on KPIs. Did you design a successful fraud detection strategy? Let us know! We love seeing clear examples of how you've made a difference.
Be Clear and Concise:In your application, clarity is key. Use straightforward language to explain your experience and how it relates to the job. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all the necessary documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Klarna
✨Know Your Fraud Strategies
Make sure you brush up on the latest trends in fraud risk management. Be ready to discuss specific strategies you've implemented in the past, especially around A/B testing and champion/challenger experiments. This shows you’re not just familiar with the concepts but have practical experience.
✨Showcase Your Technical Skills
Since this role requires hands-on experience with SQL and Python or R, be prepared to talk about your technical projects. Bring examples of analyses or experiments you've prototyped, and if possible, share how these impacted KPIs. This will demonstrate your ability to translate data into actionable insights.
✨Communicate Clearly
Excellent communication is key, especially when dealing with senior stakeholders. Practice explaining complex concepts in simple terms. You might even want to prepare a few concise specifications or rollout plans to showcase your ability to drive decisions quickly.
✨Prepare for Real-World Scenarios
Think about past experiences where you had to respond to fraud spikes or incidents. Be ready to discuss how you handled those situations, what mitigations you implemented, and how you conducted post-mortems. This will highlight your ability to perform under pressure and your proactive approach to risk management.
