Description

You will drive insights and strategies for credit/debit card payments and fraud within the Analytics team.

This role is hybrid.

Responsibilities

• Analyze large-scale payments and fraud datasets to identify patterns, trends, and anomalies in credit/debit card transactions.
• Build dashboards and reports in Tableau to provide actionable insights to business and leadership teams.
• Design and execute deep-dive analyses and A/B tests to evaluate the impact of product, policy, or strategy changes.
• Partner with Product, Risk, Operations, and Engineering to define problems and recommend data-driven strategies.
• Develop and track key performance metrics for payments performance, fraud/risk, and customer experience.

Required Skills

• 5+ years of total analytics experience in the payments space.
• Advanced proficiency in SQL, including complex joins, window functions, and performance optimization.
• Strong hands-on experience with Tableau for dashboarding and data visualization.
• Domain exposure to credit/debit card payments and fraud/risk analytics.
• Proven track record in modelling (risk/fraud/propensity/segmentation), Business Intelligence/Reporting, or Strategy/Product Analytics.
• Ability to structure ambiguous problems, perform rigorous analysis, and drive to clear recommendations.
• Strong communication skills to influence cross-functional stakeholders.
• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering, Computer Science) or equivalent practical experience.

Preferred Skills

• Python or R for statistical analysis and modelling.
• Experience with large-scale data processing frameworks.

Key Skills

Education

Any Graduate