Your new company

A specialized product company focused on global, national, and enterprise payment platforms and services in digital payments. With over 30 years of industry expertise, the company is a leader in delivering mission-critical payment solutions, processing approximately 46% of global digital payment volumes in 2023. The organization emphasizes innovation and entrepreneurship, aiming to set a new gold standard for digital payments through a cloud-based microservice framework.

Your new role

As a Data Science Engineer in the Fraud Management System, you will be responsible for designing and implementing advanced data models to support analytics, fraud detection, and risk management applications. You will leverage your expertise in data profiling, machine learning models, and graph databases to develop robust solutions that enhance fraud detection capabilities.

What you'll need to succeed

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience: 7+ years in data modelling and profiling; strong expertise in machine learning and statistical models; hands-on experience with graph databases (e.g., Neo4j).
• Skills: Proficient in Python or R; familiarity with ISO 20022 data formats; excellent problem-solving and communication skills; experience with fraud detection techniques and risk scoring is highly preferred.
• Preferred Skills: Knowledge of big data technologies (e.g., Spark), model interpretability techniques, and Agile development practices.

What you'll get in return

A competitive salary and benefits package.
The opportunity to work on innovative fraud management and payment solutions.
A collaborative and inclusive work environment that fosters professional growth.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.