Senior Level – Credit Card Analytics​/Data Science

Position: Senior Level – Credit Card Analytics / Data Science
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)