Senior Fraud Data Scientist - AI-Driven Card Risk

Virtusa; Dubai; On-site; AED 240,000 - 360,000; Full time

Job summary

Virtusa is seeking a Senior IC Data Scientist specializing in card fraud modeling to design and deploy advanced detection models. The role emphasizes scalable production deployments, robust validation, and close collaboration with fraud risk, IT and business teams in a dynamic environment.

The candidate will develop models using SAS SFD and Python, implement MLOps pipelines, and ensure compliance with regulatory requirements while delivering insights to senior management.

Qualifications

• Masters or Ph.D. in Data Science, Statistics, Computer Science or related field.
• Strong proficiency in SAS (including SAS SFD), Python and SQL.
• Hands-on experience with ML frameworks and MLOps tools; deep knowledge of card fraud detection.
• 7+ years in data science roles with at least 3 years in card fraud modeling; production deployments.

Responsibilities

• Develop and optimize card fraud detection models for issuing and acquiring portfolios.
• Deploy models using SAS SFD and integrate with production systems; ensure scalability.
• Establish MLOps pipelines for CI/CD, retraining and monitoring of fraud models.
• Conduct rigorous validation, stress testing and performance benchmarking.
• Collaborate with fraud risk data engineers IT and business teams; report to senior stakeholders.

Skills

Strong analytical & problem-solving

Excellent communication & stakeholder

Card fraud modeling

Education

Masters or Ph.D. in Data Science, Statistics, Computer Science or related field

Tools

SAS (including SAS SFD)

Python

SQL

TensorFlow

PyTorch

Scikit-learn

MLflow

Kubeflow

CI/CD pipelines

Job description

Virtusa is seeking a Senior IC Data Scientist specializing in card fraud modeling to design and deploy advanced detection models. The role emphasizes scalable production deployments, robust validation, and close collaboration with fraud risk, IT and business teams in a dynamic environment.

The candidate will develop models using SAS SFD and Python, implement MLOps pipelines, and ensure compliance with regulatory requirements while delivering insights to senior management.