Are you passionate about data and its business value? Would you like to make a difference by providing data and insights to our KYC department? We are seeking a talented and motivated Data Analyst to join our team.
Are you passionate about data and its business value? Would you like to make a difference by providing data and insights to our KYC department? We are seeking a talented and motivated Data Analyst to join our team.
Knab was founded in 2012 because we wanted to do things differently. Simpler, smarter, and more advantageous for our customers. Because we believe we can help everyone maximize their financial affairs. “Feel at ease when it comes to your finances. Every day.” By combining smart technical solutions with a healthy dose of human intelligence, we create financial services that really meet your needs. Add to that some of the sublime personal service from our employees and you end up with something that’s truly unique to the world of finance!

YOUR MAIN RESPONSIBILITIES:

• Conduct post-transaction analysis to detect suspicious patterns and assess the effectiveness of AML and fraud detection rules.
• Evaluate and monitor rule engines used in AML, agentic workflows and fraud scenarios, ensuring accuracy, effectiveness and compliance.
• Design and maintain data preparation pipelines using Airflow, ensuring structured, high-quality data for analysis.
• Develop and deliver business reports and dashboards to support AML, fraud, payments and operational teams.
• Collaborate with the data engineering team on pipeline design, data structure and architectural decisions.
• Execute process mining initiatives to uncover inefficiencies and optimize AML and fraud workflows.
• Work with event-driven architectures to process and analyze real-time data streams.
• Perform advanced data analysis using Python, SQL
• Understanding database systems including Snowflake, PostgreSQL, and Dataverse.
• Leverage Azure Machine Learning and AI for model development, deployment, and monitoring.
• Use GitHub for version control, collaboration, and code management.

There is no predefined route to become a great Data Analyst at Knab. But to be successful in this role, this is the kind of profile we have in mind:

• Proven experience in AML and fraud analytics, preferably in financial services or regulated environments
• Proficiency in Python, SQL, and data pipeline orchestration (eg. Airflow)
• Hands-on experience with Azure Machine Learning, event-driven systems, and process mining tools
• Deep understanding of data modeling, ETL/ELT, and data warehousing
• Familiarity with Snowflake, PostgreSQL, Dataverse, and event-driven architectures
• Experience with Git for collaborative development, version control and code management.
• Strong communication and interpersonal skills; a collaborative team player
• Open to change, flexible, and resilient in dynamic environments
• Hands-on experience with Analytics tools like Power B