We are seeking a skilled and experienced Data Engineer to join our team at Cartan Trade, specializing in the credit insurance domain. You will play a critical role in migrating and optimizing our data infrastructure, ensuring data governance, and enabling advanced analytics to support business deliverables.

Why Join Cartan Trade?

• Be at the forefront of innovation in the credit insurance industry, leveraging cutting-edge technologies like AI, machine learning, and cloud-native solutions to redefine how data drives decision-making.

• Work on disruptive projects that challenge traditional processes, from automating claims recovery to building predictive risk models that transform underwriting and risk monitoring.

• Join a team that values creativity and forward-thinking, empowering you to experiment with new ideas and technologies to solve complex business problems.

• Contribute to shaping the future of credit insurance by integrating advanced analytics, AI-driven insights, and scalable data architectures into our operations.

• Be part of a company that is not just adapting to change but leading the charge in transforming the industry through data-driven innovation.

Key responsibilities :

1. Data Architecture and Integration:

• Migrate and optimize data infrastructure to a scalable architecture (partial or full) in alignment with business needs.

• Design and implement data pipelines to ensure seamless integration of claims recovery systems with third-party platforms.

• Internalize Cartan Trade’s data infrastructure while enforcing data governance, integrity, and security.

• Optimize data updating processes to ensure real-time or near-real-time data availability (e.g., from day +1 to day 0).

2. Automation and Efficiency:

• Develop and maintain automated workflows for billing, invoicing, and reporting processes.

• Automate claims recovery requests and synchronize them with third-party recovery platforms.

• Implement data visualization tools and dashboards for billing, claims, and risk monitoring.

• Generate automated reports for billing, cash collection, collection effectiveness, DSO, and claims recovery.

3. Data Security and Governance:

• Ensure robust data security measures are in place for cloud-based environments.

• Monitor and supervise data integrity, quality, and compliance with governance policies.

• Implement and enforce data access controls and encryption protocols.

4. Risk Monitoring and Analytics:

• Develop and implement risk analytics reports integrated with the Claims Information System (CIS).

• Build and automate risk alerting models to monitor credit insurance risks.

• Collaborate with the underwriting team to enhance risk monitoring capabilities.

5. Innovation and Collaboration:

• Work on digitalizing pricing strategies and integrating external platforms with Cartan Trade’s data infrastructure.

• Collaborate with cross-functional teams to establish wording governance and integrate AI services for external monitoring.

• Continuously explore and implement innovative solutions to improve data processing, analytics, and reporting.

Key Deliverables:

• Fully automated billing processes, including Prime and fees collection.

• Client-facing billing dashboards and automated billing reports.

• Integrated claims recovery platform with automated workflows.

• Optimized data infrastructure with real-time updating capabilities.

• Risk analytics reports and automated alerting models.

• Enhanced data governance and security measures.

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

Experience:

• Minimum 3 years of experience as a Data Engineer, preferably in the insurance or financial services sector.

• Proven experience working with cloud environments (AWS, Azure, GCP) and ensuring data security.

• Strong expertise in data pipeline development, ETL processes, and data integration.

• Experience with data visualization tools (e.g., Tableau, Power BI) and analytics platforms.

Technical Skills:

• Proficiency in programming languages such as Python, SQL, and Scala.

• Hands-on experience with cloud-based data platforms (e.g., Snowflake, Redshift, BigQuery).

• Knowledge of data governance frameworks and security best practices.

• Familiarity with risk analytics and monitoring tools is a plus.

Soft Skills:

• Strong problem-solving and analytical skills.

• Excellent communication and collaboration abilities.

• Ability to work in a fast-paced, dynamic environment and manage multiple priorities.