Data Science Fraud Specialist
5 days ago
We are seeking a highly skilled Fraud Data Scientist to join our team at Network Finance. The ideal candidate will have a strong background in data analytics and experience with fraud detection models.
The successful candidate will play a key role in supporting transactional fraud mitigation services by leveraging data to uncover insights and develop solutions that enhance decision-making.
The focus of this role is on optimizing fraud detection models to minimize fraud losses while maintaining minimal disruption to legitimate transactions.
- Develop and Optimize Fraud Detection Models: The candidate will develop and optimize fraud detection models for payment streams using industry-standard metrics and client-specific data.
- Analyze Client Risk Profiles: The candidate will analyze client risk profiles and adjust detection models and thresholds accordingly to minimize false positives.
- Investigate System Anomalies: The candidate will investigate system anomalies and troubleshoot issues effectively to ensure seamless transaction processing.
Key Qualifications:
- MSc or BSc in Applied Mathematics, Statistics, Actuarial Science, or a related field.
- At least 5 years' experience in fraud detection, data analytics, or statistical modeling.
- Proficiency in MS Office, SQL, and data wrangling techniques.
This role offers opportunities to collaborate with key stakeholders, vendors, and internal teams to drive national fraud prevention initiatives.
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