What are the responsibilities and job description for the Senior Analyst - Payments & Fraud position at Galent?
About the Role:
We are seeking a strong, hands-on Senior Analyst with deep experience in the payments space to join Analytics team in San Jose. This role will focus on driving insights and strategies across credit/debit card payments and fraud, partnering closely with product, risk, and business stakeholders. You will use your expertise in SQL, Tableau, and analytical problem solving to identify trends, diagnose issues, and recommend data-driven solutions that improve authorization rates, reduce fraud losses, and enhance customer experience.
Required Qualifications:
- 5 years of total analytics experience in the payments space (India USA experience both count), ideally within card networks, issuers, acquirers, PSPs, or large fintechs.
- Strong domain exposure to credit/debit card payments; fraud/risk analytics experience strongly preferred.
- Advanced proficiency in SQL (complex joins, window functions, performance optimization).
- Strong hands-on experience with Tableau (or similar BI tools) for dashboarding and data visualization.
- Proven track record in at least one of the following areas:
Modelling (risk/fraud/propensity/segmentation)
Business Intelligence / Reporting
Strategy / Product Analytics
- Demonstrated ability to structure ambiguous problems, perform rigorous analysis, and drive to clear recommendations.
- Strong communication skills with the ability to influence cross-functional stakeholders.
- Bachelors (Bs degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering, Computer Science) or equivalent practical experience.
Preferred Qualifications:
- Experience in a global payments or large-scale fintech environment (e.g., card networks, major banks, PSPs).
- Familiarity with fraud tools, risk decision engines, or chargeback processes.
- Experience with experimentation (A/B testing) and causal inference methods.
- Exposure to Python/R or similar for advanced analytics or modeling.
- A master's degree in a quantitative discipline is a plus.