Visa is hiring for the position of Data Analyst in Bangalore, India. Candidates with a Bachelor’s/ Master’s degree/ MBA, or PhD are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Visa |
| Position | Data Analyst – Fraud |
| Qualifications | Bachelor’s/ Master’s degree/ MBA, or PhD |
| Experience | Experienced |
| Location | Bangalore, India |
Key Responsibilities:
Primary Responsibilities:
- Lead the design and production deployment of new and advanced techniques to identify non-compliance in Visa Direct AFT and OCT transactions, including peer-to-peer transfers, wallet loads, account funding, and money transfers.
- Manage non-compliance detection taxonomies and thresholds to optimize true positive detections.
- Analyze complex financial data to uncover patterns, anomalies, and insights that support risk assessments and non-compliance identification.
- Collaborate closely with issuing and acquiring clients to understand their specific risk and fraud challenges, providing expert guidance and tailored solutions.
- Conduct data analysis to gather evidence of non-compliance in merchant registration and operations.
- Continuously evaluate and implement new techniques to stay ahead of emerging trends in money movement.
- Assist in compiling and delivering reports, briefings, and other related communication products to Visa management.
- Partner with Technology teams to enhance detection capabilities for improved insights and pattern recognition.
Secondary Responsibilities:
- Develop customized monitoring solutions that enable clients to proactively prevent non-compliance during merchant registration.
- Support the development of data-driven cybercrime and fraud prevention initiatives, including point-of-sale terminal fraud (card present and card not present), anomalous cross-border volumes, Purchase Return Authorization fraud, data manipulation attacks, and ATM cashouts.
- Provide intelligence and technical analysis support to the Global Risk organization to help safeguard the payment ecosystem.
- Create and maintain detailed documentation for all Visa Direct analytics solutions.
- Communicate openly with the Visa Direct team, serving as a subject matter expert and point of escalation.
- Develop and implement a plan to partner with acquirers and gather intelligence for comprehensive source analysis.
Eligibility Criteria:
- 2 to 3 years of relevant work experience, preferably in the payments industry, with a Bachelor’s degree or an advanced degree (e.g., Master’s, MBA, or PhD).
- Ability to perform complex analytical functions on transactional data to identify key patterns and recurring trends across money-movement merchants.
- Basic understanding of transactions, transaction processing systems, and the overall transaction lifecycle.
- Proficiency in Python, SQL, and Tableau for data manipulation, analysis, and visualization.
- Strong experience in data preprocessing, feature engineering, and model optimization for risk, compliance, and fraud detection.
- Ability to adapt and thrive in a fast-paced, team-oriented environment.
- Proficiency in drafting detailed technical reports.
- Demonstrated passion for payments analytics, fraud schemes, and cybercrime investigations.
- Good interpersonal, facilitation, and emerging leadership skills.
- Strong written and verbal communication skills, with the ability to communicate effectively and with impact.
- Ability to deliver presentations and interact comfortably with all levels of Visa and client management.
- Prior experience in developing and producing reports for executive management.
- High level of self-motivation and initiative.
Preferred Experience:
- Direct experience with VisaNet, ISO 8583, transaction routing, VCMS, and Base I and Base II platforms.
- Familiarity with information security concepts, terms, processes, policies, and implementation.
- Proficiency in advanced data science and machine learning techniques, with practical experience implementing them in Python.
- Experience with PySpark programming for building enterprise-level data solutions.
- Familiarity with intelligence databases, analytical tools, or similar intelligence reporting systems.
- Experience in analyzing cyber threat intelligence and fraud intelligence.
- Moderate understanding of networks, risk management, network security, digital forensics, and security operations.
About Company:
Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and be paid.
How To Apply?
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