Job Description & How to Apply Below
Job Title
Senior Level – Credit Card Analytics / Data Science
Job Summary
Looking for a senior analytics professional with strong experience in Credit Card / Retail Banking analytics, driving strategy using data science, SQL, and Python. The role focuses on portfolio performance, customer lifecycle, risk & marketing analytics.
Key Responsibilities
• Drive credit card portfolio analytics (acquisition, activation, usage, retention)
• Build data-driven strategies for growth, cross-sell, and profitability
• Develop predictive models (risk, churn, CLTV) using Python
• Work on campaign analytics, segmentation, and targeting
• Partner with business, risk, and product teams for strategic decisions
• Automate reporting and dashboards using SQL/Python
Required Skills
• Strong experience in Credit Card / Banking Analytics
• Advanced SQL (joins, CTEs, optimization)
• Python (Pandas, Num Py, Scikit-learn)
• Data storytelling and stakeholder management
• Strategy mindset with business impact focus
Qualifications
• Bachelor’s/Master’s in Engineering, Statistics, Economics, or related field
• 6–10+ years of experience in analytics/data science
• Experience in credit cards or financial services is mandatory
Preferred Skills
• Experience with SQL / R / Py Spark
• Knowledge of credit risk, underwriting, or fraud analytics
• Exposure to BI tools (Power BI, Tableau)
Position Requirements
10+ Years
work experience
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