Data Engineer - Financial Crime Prevention
We are seeking a talented Data Engineer to join our global fraud team. This role is a mix of 80% engineering and 20% financial crime & service marketing, ideal for someone passionate about building scalable solutions in a fast-paced, high-impact environment.
Key Responsibilities:
* Design and develop large-scale data pipelines using Python or JavaScript
* Collaborate with stakeholders to integrate databases and generate insights to combat financial crimes
* Develop cloud-based applications using AWS, Snowflake, and Databricks
* Implement continuous integration and deployment pipelines
Requirements:
* Strong full-stack engineering background with experience in large data sets and data engineering pipelines
* Cloud expertise, including deployment of data automation and microservices
* Ability to thrive in an agile environment with minimal red tape
* Excellent stakeholder management skills, operating across various sub-divisions
What You'll Gain:
* Opportunity to work at the intersection of cybersecurity and financial crime prevention
* Fantastic globally recognized institution with a dynamic work environment
* Potential for career growth and professional development
This is a fantastic opportunity for someone with a strong engineering mindset to contribute to a critical area of business. If you're passionate about building scalable solutions and have a desire to make a meaningful impact, we encourage you to apply.