Moladin is looking for a Senior Data Analyst - Fraud, you will investigate suspected fraud related to automotive purchase transactions. You will also responsible for building, improving, and monitoring business processes that detect and prevent fraudulent activities across the organization.
**Responsibilities**:
- Formulate and maintain anti-fraud related policies, fraud risk management, anti-fraud surveillance and analytics, scenario effectiveness review, intelligence handling and investigations, and anti-fraud related reporting, training and governance.
- Understand the trends and intelligence of fraudulent activities and build intelligence systems to mitigate fraud.
- Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented.
- Collaborate with business teams, product managers, data scientists, and engineering team to develop and evaluate the efficiency of tools, processes, and policies related to fraud management.
- Drive process implementation and improvement that streamlines determination of fraud events.
- Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.
**Requirements**:
- Minimum Bachelor's degree with a background in Computer Science, Business Analytics, Math, Statistics, or related fields.
- Minimum 3 - 5 years experience of relevant experience in the related field is required for this position, preferably within the automotive or finance industry.
- Strong data analysis and correlation skills with ability to work through complex and unfamiliar data sets and able to derive the characteristics of different scenarios.
- Comfortable in a matrix organization and to drive cross-functional and cross-regional collaborations.
- Experience with SQL and analytical tools (SAS, R, Python) is a must.
- Familiarity with risk and fraud in ecommerce fields and experience with fraud rule writing is a strong plus.
- Proficiency in English is required.