Data Engineer
Hello Network!
I hope you're doing well today,
We are seeking talented and dedicated Data Engineers to join our client's FraudAI team :
Relevant experience should be more than 8+ Years
Location : Frankfurt
Language : German is Mandatory
Contract Duration : 6 months & Option to extend
Rate : As per Market standards
We are seeking skilled Data Engineers to join our FraudAI team, focusing on the development, implementation, and optimization of fraud detection and prevention solutions.
As a Data Engineer in this role, you will work with complex fraud data systems, support risk modeling, and perform compliance reviews to enhance our fraud detection capabilities.
This position requires hands-on experience with data engineering frameworks, fraud data analytics, and compliance processes to protect our customers and the integrity of our platform.
Key Responsibilities :
- Design, develop, and maintain fraud data pipelines that process high volumes of transaction data for risk assessment.
- Utilize tools such as WAR and ASCHE (or similar frameworks) to support fraud data processing and management.
- Collaborate with Fraud Analysts and Data Scientists to support the development of predictive models and risk assessment algorithms.
- Conduct fraud compliance reviews and develop processes to ensure regulatory and organizational adherence.
- Analyze fraud data patterns to identify trends, anomalies, and potential fraud scenarios.
- Work with cross-functional teams to implement data solutions that enhance fraud detection and risk mitigation strategies.
- Develop and document best practices for data engineering within fraud and risk contexts, ensuring quality and scalability.
Required Skills and Experience :
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field , or equivalent experience.
- Proven experience as a Data Engineer , ideally with a focus on fraud detection, risk modeling, or compliance.
- Technical proficiency in :
- WAR and ASCHE or similar data engineering frameworks.
- Fraud data and risk modeling methodologies.
If you are interested, or you know someone that could be please reach out and we can arrange a time to speak?
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