Data Analyst - Financial Crime Prevention (AML)
Oslo
Vipps MobilePay
Join Vipps MobilePay as a Data Analyst - Transaction Monitoring & Risk Scoring - Help Keeping the Nordic Payments Secure and Compliant!
At Vipps MobilePay, we remove hassle, create dazzle, and make it very, very easy for users to send and receive money. As one of the most loved brands in both Norway and Denmark (and quickly gaining ground in Finland), we’re making everyday payments simple for 12 million users and 400,000 stores and web shops across the Nordics.
Now, as we unite on one Nordic platform, we're building smart, scalable solutions to support seamless and secure cross-border payments - and we need your help to keep it safe.
About the Role:
We’re looking for a sharp, analytical mind to join our Financial Crime Prevention team as a Data Analyst - someone who knows how to turn complex transaction patterns into clear signals of money laundering (ML) or terrorist financing (TF).
As part of our technical team in Financial Crime Prevention and in close collaboration with our subject matter and risk experts, you’ll play a vital role in designing, building, and improving our transaction monitoring and risk scoring capabilities. You’ll collaborate with data engineers, data scientists, developers and subject matter experts to deliver advanced systems to monitor and detect suspicious activities.
Your Mission:
- Design and develop risk-based scenarios and rules for identifying suspicious activity
- Continuously tune and optimize transaction monitoring logic based on performance metrics and emerging threats
- Partner with subject matter experts and investigations teams to translate typologies and regulatory requirements into technical monitoring logic
- Build models and scoring mechanisms to flag high-risk users and merchants
- Use analytics and machine learning to proactively detect new patterns for money laundering and terrorist financing
- Contribute to long-term strategies for automation and scalability in our financial crime prevention platforms.
Required Qualifications:
- Bachelor’s or master’s degree in a relevant field (e.g. Data Science, Statistics, Computer Science, Economics, or Finance)
- 2+ years of hands-on experience in AML systems (transaction monitoring and/or risk classification)
- Proven experience in designing and maintaining transaction monitoring scenarios or logic-based rulesets on big data sets
- Understanding of regulatory requirements related to financial crime (e.g. AML, CTF)
- Proficient in SQL and Python
- Experience working with large datasets and building real-time ETL pipelines
- Familiar with code versioning (Git) and collaborative development environments
Preferred Qualifications:
- Experience with rules-based monitoring platforms (e.g. Actimize, SAS AML, Oracle Mantas, etc.)
- Experience with data science/ML packages (Pandas, Sklearn, TensorFlow, PyTorch) is a big advantage
- Understanding of risk-based approaches to monitoring and scoring
- Experience with MLFlow, Apache Spark, and the Databricks platform
- Exposure to cloud platforms (Azure preferred)
- Good understanding of Nordic and European regulatory frameworks related to fraud and AML
- Prior experience working in cross-functional teams
What It’s Like to Work Here:
At Vipps MobilePay, we work in autonomous cross-functional teams and trust our people to find the best solutions. We care deeply about creating simple, elegant user experiences—and that applies to our internal culture, too.
Our values:
- Keep it simple - Clear thinking beats complexity
- No worries - We fail fast and learn faster
- One team - Collaboration across every function
Apply Now:
Click below to join a team that’s reshaping digital payments across the Nordics—with security, speed, and simplicity at the core.
Applicant must have a valid work permit in Norway.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Big Data Classification Computer Science Databricks Economics ETL Finance Git Machine Learning MLFlow Oracle Pandas Pipelines Python PyTorch SAS Scikit-learn Security Spark SQL Statistics TensorFlow
Perks/benefits: Team events
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