Hiring For Chargeback (Card Operations) - Analyst/Sr Analyst

Job description

Location : Navi Mumbai- Ghansoli LOMA Designation : Analyst, Sr Analyst, SME Sub Process : Chargeback- Cards Operations About Organization: Hexaware is a global technology and business process services company. Our 31,000+ Hexawarians wake up every day with a singular purpose; to create smiles through great people and technology. With 54 offices in 28 countries, we empower enterprises worldwide to realize digital transformation at scale and speed by partnering with them to build, transform, run, and optimize their technology and business processes. Learn more about Hexaware at https://www.hexaware.com. Role: We are seeking a talented and energetic data-centric analyst with experience in fraud to analyze card fraud and transaction data and provide actionable insights on new trends while driving changes to fraud prevention strategies. Job Responsibilities: 1. Analyze card fraud and transaction data to produce actionable insights on new trends. 2. Drive changes to rules and fraud prevention strategy with data-led insights. 3. Stay up to date on fraud prevention trends. 4. Utilize tools like Microsoft Excel, Google Sheets, SQL, Python, and Looker for daily reporting and analysis. 5. Support new fraud initiatives that align with and contribute to business goals. 6. Manage the Chargebacks process and possess acquirer/issuer fraud liability experience. 7. Coordinate with Visa, MasterCard, and other payment network providers. 8. Have prior experience and knowledge of Credit cards. 9. Work collaboratively with cross-functional teams on fraud-related projects. 10. Provide training and support to junior analysts on fraud detection techniques. Criteria: 1. 1-5 years of experience in data analysis and fraud detection. 2. Proficiency in SQL and data visualization tools. 3. Strong analytical and problem-solving skills. 4. Ability to work in a fast-paced, dynamic environment. 5. Experience in a financial services environment. 6. Familiarity with machine learning techniques for fraud detection. Shifts timings: Night Shift- 24\\*7