Fraud Data Scientist
4 weeks ago
Job Type: Permanent and Full-Time
Key Responsibilities:
- Develop and optimise fraud detection models for payment streams.
- Analyse and manage client risk profiles by adjusting detection models and thresholds.
- Investigate system anomalies and troubleshoot issues.
- Monitor system performance using industry metrics and client-specific data.
- Manage data issues and incorporate new fraud data feeds as needed.
- Provide technical to business communication and data wrangling evaluations.
- Support ad hoc investigations and contribute to fraud/analytics projects.
Qualifications & Experience:
- MSc or BSc in Applied Mathematics, Statistics, Actuarial Science, or equivalent.
- Minimum 5 years experience in fraud detection, data analytics, or statistical modeling.
- Proficiency in MS Office, SQL, and data wrangling.
- Experience with big data analytics, scripting, and programming.
This role is critical to national fraud prevention efforts and provides opportunities to work with key stakeholders, vendors, and internal teams.
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