Data & Reporting Analyst (Credit Card Risk)

About Kadel Labs Kadel Labs is a deep-tech IT services company delivering high-quality technology solutions since 2017. We specialize in Digital Transformation, Data Engineering, Cloud, AI/ML, and Enterprise Applications, helping global enterprises build scalable and innovative solutions. Kadel Labs is a CMMI Level 3 and ISO 27001:2022 certified organization committed to engineering excellence and customer success.

About the Role

Data & Reporting Analyst (Credit Card Risk) Role Purpose: Own risk data pipelines, portfolio MIS, and recurring risk reporting for the US credit card portfolio.

Key Responsibilities

Build and maintain automated risk reports and dashboards (delinquency, roll rates, vintage curves, portfolio KPIs) Develop and optimize SQL/Python data pipelines feeding risk analytics and regulatory/management reporting Perform data quality checks, reconciliation, and issue resolution across risk data sources Leverage AI tools/agents to automate reporting workflows and self-serve analytics Role-Specific Skills Strong SQL (complex joins, window functions); Python for automation (pandas) Experience with BI tools (Tableau, Power BI, or similar) preferred Familiarity with credit card data structures: transactions, statements, bureau data, delinquency buckets Requirements US Credit Card Experience: Hands-on experience supporting US credit card portfolios (issuing side) — e.

g., US bank, card issuer, fintech, or captive/GCC supporting a US card business Python / SQL: Strong proficiency in Python and/or SQL for data extraction, analysis, and automation AI / AI Agent Experience (3+ years): More than 3 years of experience working with AI — building or working with AI agents, LLM-based solutions, machine learning models, or AI-driven analytics in a professional setting Excel: Advanced Excel skills, including pivot tables, complex formulas, and building management-ready reports and dashboards Communication: Strong written and verbal English communication; ability to work with US-based stakeholders and overlap with US business hours as needed