Data Science Fraud Specialist
hace 1 semana
About the Role
We are seeking a highly skilled Data Science Fraud Specialist to join our Decision Sciences team. As a key member of this team, you will be responsible for managing fraud losses while optimizing revenue opportunities for Western Union digital transactions.
The successful candidate will design and implement risk models to screen online transactions and stop fraudulent ones. This will involve analyzing online transaction activity to identify loss reduction opportunities and devising actionable plans to exploit such opportunities.
Key Responsibilities
- Design and implement risk models to screen online transactions and stop fraudulent ones.
- Conduct ad-hoc/exploratory analysis and provide accurate results in response to internal and external requests.
- Manage multiple projects and data requests in a timely manner.
- Support Senior/Staff Risk Scientists with ad-hoc analysis in response to internal and external requests.
- Develop champion/challenger test practices, including post-implementation and monitoring to results.
Requirements
- Data Scientist degree or equivalent in a similar field such as Economics, Statistics, or Math.
- 2 years of experience in Data Analytics and Machine Learning.
- Working knowledge of statistical analysis tools like R, SQL, and Python.
- Experience and knowledge using Power BI is an advantage.
- High English proficiency C1+ to communicate across a broad spectrum of stakeholders.
- Strong problem-solving and analytical skills.
- Strong communication skills to convey fraud insight.
- Ability to analyze problems and produce a justification to enhance fraud decisions.
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