KL
Kadel Labs
Data & Reporting Analyst (Credit Card Risk)
udaipur. jaipur, bhopal. bangalore, IN출근정규직정규직
2026년 10월 24일에 게시됨
이 채용공고는 EN로 게시되어 있습니다
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
- Build and maintain automated risk reports and dashboards (delinquency, roll rates, vintage curves, portfolio KPIs)
- 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
- Strong SQL (complex joins, window functions); Python for automation (pandas)
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
직무 요약
직무 유형
정규직
필수 기술
US Credit Card Portfolio RiskCredit Card Data Structures (Transactions, Statements, Bureau Data, Delinquency Buckets)SQL (Complex Joins and Window Functions)Python Data Analysis and Automation (pandas)Risk Data Pipeline Development and OptimizationCredit Risk Reporting and Portfolio Metrics (Delinquency, Roll Rates, Vintage Curves, KPIs)BI Dashboard Development (Tableau, Power BI, or Similar)Data Quality Checks and ReconciliationAI, AI Agents, LLMs, and Machine Learning for Analytics AutomationAdvanced Excel Reporting (Pivot Tables and Complex Formulas)Written and Verbal English CommunicationStakeholder Communication with US-Based Teams
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