Data & Reporting Analyst (Credit Card Risk)
- Hiring from
- India
- Work type
- Remote
- Posted
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About Us
At Kadel Labs – Startup Studio we built an ecosystem for early-stage founders to help them take their ideas to the next level. The ecosystem consists of in-house product teams, engineers, designers, data scientists, sales & marketing teams, legal experts, taxation, finance and operation heads. We aim to build a cohesive ecosystem, so that your startup runs as a full-fledged business from day 1!
Job Description
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
