Senior Data Analyst - Fraud

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

• Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.
• 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.
• 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.
• Understand the trends and intelligence of fraudulent activities and build intelligence systems to mitigate fraud.
• Drive process implementation and improvement that streamlines determination of fraud events.

Requirements

• Proficiency in English is required.
• Experience with SQL and analytical tools (SAS, R, Python) is a must.
• Minimum Bachelor's degree with a background in Computer Science, Business Analytics, Math, Statistics, or related fields.
• 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.
• Minimum 3 - 5 years experience of relevant experience in the related field is required for this position, preferably within the automotive or finance industry.
• Familiarity with risk and fraud in ecommerce fields and experience with fraud rule writing is a strong plus.
• Comfortable in a matrix organization and to drive cross-functional and cross-regional collaborations.