Business Analyst L4

Wipro•Irving, TX

About The Position

Wipro Limited is seeking a Business Analyst with deep expertise in Fraud Management and strong exposure to analytics and reporting. The role works closely with business stakeholders, fraud operations teams, product owners, and technology teams to advance fraud monitoring, analytics, reporting, and strategic initiatives. The analyst translates complex business requirements into actionable insights and data-driven solutions. The position supports fraud detection, monitoring, and risk management programs; develops management and executive reporting; and contributes to regulatory, audit, and risk management compliance. The posting gives an overall qualification of 12+ years of Business Analysis experience, while also listing 5–8 years under mandatory skills experience.

Requirements

Bachelor's or Master's degree in Business, Finance, Computer Science, Information Systems, or a related field.
12+ years of Business Analysis experience with significant exposure to Fraud, Risk, Analytics, and Reporting initiatives within Banking/Financial Services.
Strong experience in Banking Fraud Management, Fraud Operations, Risk Analytics, or Financial Crime domains.
Expertise in requirements gathering, business analysis, stakeholder management, and solution design.
Strong analytical and problem-solving capabilities.
Hands-on experience with SQL for data analysis and reporting.
Experience with Power BI, Tableau, Cognos, Business Objects, or similar reporting platforms.
Strong understanding of fraud metrics, fraud controls, case management, and fraud monitoring processes.
Experience working in Agile/Scrum environments.
Excellent communication and presentation skills.
The posting also lists 5–8 years of experience under Mandatory Skills: Business Analysis.

Nice To Haves

Experience supporting Fraud Strategy, Fraud Controls, Risk Monitoring, Executive Reporting, and Data Analytics programs, particularly for Citi/OMAI-type engagements.
Exposure to enterprise data platforms, cloud analytics solutions, and AI/GenAI-driven fraud detection initiatives.
Experience with credit card, payments, digital banking, wire fraud, AML, or transaction monitoring.
Knowledge of data warehousing and data modeling concepts.
Exposure to predictive analytics, machine learning, or AI-driven fraud detection solutions.
Experience working with large-scale enterprise reporting and analytics platforms.
Familiarity with regulatory frameworks and banking compliance requirements.

Responsibilities

Partner with Fraud Operations, Risk, Compliance, and Technology teams to gather, analyze, and document business requirements.
Drive fraud analytics initiatives to identify trends, emerging fraud patterns, operational gaps, and process improvement opportunities.
Create business requirements, functional specifications, process flows, use cases, and user stories.
Define and track fraud-related KPIs, KRIs, operational metrics, and management reporting.
Develop executive dashboards and analytical reports using Power BI, Tableau, or similar BI platforms.
Perform root cause analysis on fraud incidents and recommend mitigation strategies.
Work with data engineering and technology teams to define data requirements and reporting solutions.
Support fraud detection, monitoring, and risk management programs through data-driven insights.
Participate in UAT planning, test case preparation, execution, and business sign-off.
Present analytical findings and recommendations to senior management and executive stakeholders.
Ensure compliance with regulatory, audit, and risk management requirements.