As a Data Scientist at Visa, you will be an integral part of our fraud analytics and machine learning team. Your work will directly contribute to building market-relevant fraud solutions for clients, while also advancing Visa’s intellectual property in the field. This is a highly dynamic role that combines technical expertise, business acumen, and innovative problem-solving skills to deliver tangible outcomes.
Key Responsibilities
Risk Model Validation and Analysis
- Validate newly developed fraud risk models.
- Conduct performance analysis at aggregate and issuer levels.
- Interpret and present analytical results to a non-technical audience effectively.
Model Deployment and Calibration
- Prepare new model testing packages for production deployment.
- Support the installation, calibration, and fine-tuning of risk models to meet client and market demands.
Analytics for Product Development
- Conduct advanced statistical analyses on diverse data sources to enhance Visa’s fraud detection products.
- Generate innovative insights and ideas to continuously improve the product suite.
Automation and Self-Service Tools
- Identify opportunities to automate repetitive analyses.
- Build scalable self-service tools that empower business users.
Business Support and Ad-hoc Analysis
- Support sales and business teams with sound statistical and financial analysis.
- Execute ad-hoc analyses to meet the dynamic needs of the market.
Big Data and Cloud Analytics
- Conduct transaction data analyses using big data tools like Hadoop and cloud technologies.
- Develop insights into Visa’s fraud detection products using advanced statistical and machine learning methods.
Cross-Team Collaboration and Education
- Deliver projects within defined timelines to meet critical business needs.
- Advocate for big data innovations and promote analytics education across the Visa organization.
Qualifications
Basic Requirements
- Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering) OR Bachelor’s degree with 6+ years of relevant experience.
- Demonstrated success in predictive modeling, supported by internships or at least 6 months of experience in a similar role.
- Expertise in at least two of the following areas.
- Machine Learning or Artificial Intelligence (AI) algorithms.
- Large-scale data analysis and scalable systems (e.g., Spark, Hadoop).
- Statistical learning theory, optimization, or deep learning.
- Proficiency in Python, Spark, TensorFlow, H2O, and extensive hands-on experience with SQL and Hive for data extraction and aggregation.
- Strong oral and written communication skills with a keen eye for detail.
Preferred Requirements
- Team-oriented mindset with the ability to manage multiple tasks in a dynamic environment.
- Previous experience or knowledge of the financial payments industry, especially fraud modeling, is an added advantage.
Why Join Visa?
Visa fosters an inclusive and collaborative work culture that celebrates innovation and teamwork. As a member of the fraud analytics and machine learning team, you’ll play a pivotal role in tackling one of the most critical challenges in the payments industry—keeping transactions secure while enabling seamless customer experiences.
You’ll also have access to Visa’s industry-leading tools, resources, and professional development programs, empowering you to continuously learn and grow.
Diversity and Equal Opportunity
Visa is an Equal Employment Opportunity (EEO) Employer, committed to diversity and inclusion. Qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Visa also complies with applicable local laws regarding applicants with criminal histories.