Fraud Analyst/Data Scientist

Resurs

Resurs is searching for a Fraud Analyst/Data Scientist to join their dedicated fraud team. This role involves working with machine learning models and real-time analytics to detect fraudulent activities. The team collaborates with various departments to bolster fraud prevention strategies and drive insights from data.

In this role you can expect to have the responsibilities:

• Analyze large datasets to identify fraud patterns.
• Develop predictive models using advanced analytics.
• Create dashboards to track trends and enhance data visualization.
• Collaborate with Credit Underwriting, IT, and Data Engineering teams.
• Optimize decision-making processes and enhance fraud detection capabilities.

This role comes with the following benefits:

• Opportunities for personal and professional growth.
• Inclusive and diverse work culture.
• Work with a team from various international backgrounds.

This role requires you to have:

• 5+ years of experience in data science or analytics.
• Proficient in machine learning and statistical modeling.
• Experience with SQL, Python, R, and data visualization tools.

You would benefit from having:

• Experience in financial fraud prevention and fraud risk management.

Final candidates will undergo a background check. Resurs manages personal data responsibly during the recruitment process.