Senior Fraud Data Scientist
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
Virtusa is seeking a Senior Fraud Data Scientist to design and optimize card fraud detection models for issuing and acquiring portfolios. You will deploy models using SAS SFD, implement MLOps pipelines, and collaborate with fraud operations teams.
Key Skills for This Role
Responsibilities
- Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios
- Implement advanced statistical, machine learning, and AI techniques to improve fraud detection accuracy and minimize false positives
- Deploy models using SAS SFD and integrate with production systems
- Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models
- Conduct rigorous model validation, stress testing, and performance benchmarking
- Collaborate with fraud operations teams to ensure models meet business and regulatory requirements
- Partner with fraud risk, data engineers, IT and business teams to deliver end to end solutions
- Communicate insights and recommendations to senior management and business stakeholders
Requirements
- Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related field
- Strong proficiency in SAS (including SAS SFD), Python, and SQL
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit learn)
- Hands on experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines)
- Deep understanding of card fraud detection techniques and transaction data
- 7+ years in data science roles, with at least 3 years in card fraud modeling
- Proven track record of deploying models in production environments
- Strong analytical and problem solving skills
- Excellent communication and stakeholder management abilities
Full Job Posting
Key Responsibilities
- Card Fraud Model Development & Optimization: Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, machine learning, and AI techniques to improve fraud detection accuracy and precision and minimizing false positives.
- Model Hosting & Deployment: Deploy models using SAS SFD and integrate with production systems. Ensure seamless hosting and scalability of models across multiple environments.
- MLOps & Automation: Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models. Automate model retraining and performance tracking processes.
- Evaluation & Testing: Conduct rigorous model validation, stress testing, and performance benchmarking. Collaborate with fraud operations teams to ensure models meet business and regulatory requirements.
- Collaboration & Stakeholder Management: Partner with fraud risk, data engineers, IT and business teams to deliver end to end solutions. Communicate insights and recommendations to senior management and business stakeholders.
Required Skills & Qualifications
- Education: Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related field.
- Technical Skills: Strong proficiency in SAS (including SAS SFD), Python, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit learn). Hands on experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines). Deep understanding of card fraud dete
- Experience: 7+ years in data science roles, with at least 3 years in card fraud modeling. Proven track record of deploying models in production environments.
- Soft Skills: Strong analytical and problem solving skills. Excellent communication and stakeholder management abilities.
Preferred Qualifications
- Experience in banking or payments industry.
- Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting and deployment.
- Knowledge of regulatory compliance in fraud risk management.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Virtusa
Business Analyst - LOS
Dubai, UAE
Virtusa is seeking a Business Analyst with expertise in Loan Origination Systems (LOS) to engage with retail lending teams and define future-state origination journeys. The role requires 8-10 years of banking experience
GTB - Technology Delivery Manager
Dubai, UAE
Virtusa seeks a GTB Technology Delivery Manager to own end-to-end technology delivery for GTB applications including Payments, Cash Management, Trade Finance, and Supply Chain Finance as part of a Core Banking transforma
Infrastructure Engineer
Doha, QAT
Virtusa seeks an Infrastructure Engineer specializing in Nutanix AHV-based platforms. The role involves migrating server workloads using lift and shift and parallel build strategies, managing Nutanix HCI, and supporting
Dotnet Technical Lead
Doha, QAT
Virtusa is seeking a Dotnet Technical Lead with 8-12 years of experience to lead a team of .NET and React developers. The role involves designing scalable enterprise applications, developing REST APIs and microservices,
Treasury Testing
Dubai, UAE
Virtusa is looking for a Manual Test Engineer with automation knowledge and 5+ years of banking/payments testing experience. The role requires strong knowledge of SWIFT MT/MX messages, ISO 20022, and experience with paym
Treasury Testing
Dubai, UAE
Virtusa is looking for a Manual Test Engineer with automation knowledge for a Treasury Testing role in Dubai. The role requires 5+ years of banking/payments testing experience, strong knowledge of SWIFT MT/MX messages an
Java Developer
Doha, QAT
Virtusa is looking for a Java Developer with expertise in Agile, Web Services, Java, Spring Boot, and Microservices. The role involves backend development using Java 8/11, Spring Boot, REST APIs, and cloud platforms. Nic
Java Developer
Doha, QAT
Virtusa is looking for a Java Developer with strong backend development skills in Java, Spring Boot, and Microservices. The role requires experience with REST APIs, cloud platforms, and AI integration. Candidates should
Business Analyst - LOS
Dubai, UAE
GTB - Technology Delivery Manager
Dubai, UAE
Infrastructure Engineer
Doha, QAT
Dotnet Technical Lead
Doha, QAT
Treasury Testing
Dubai, UAE
Treasury Testing
Dubai, UAE
Java Developer
Doha, QAT
Java Developer
Doha, QAT