Tech Stack

Description

You will develop best-in-class credit risk strategies, build scalable data architectures and reporting automation, and support portfolio monitoring for a global embedded finance provider. Your work directly ensures profitable growth while managing credit risk across products and geographies.

Requirements

• Experience in a similar analytical role using statistical and analytical tools to drive strategy changes
• Ability to derive insights from data and present results concisely to stakeholders
• Experience with data warehousing (Snowflake/BigQuery/Redshift or equivalent)
• Strong understanding of credit risk metrics and portfolio monitoring
• Collaboration skills across Engineering, Analytics, Product, and Growth teams

Responsibilities

• Design and maintain scalable credit risk data marts and portfolio datasets
• Define metric logic for key risk indicators (delinquency, roll rates, vintage curves, loss metrics)
• Build reusable reporting layers and self-serve environments for risk stakeholders
• Develop scalable monitoring frameworks for portfolio performance, early warning indicators, and concentration
• Implement validation checks, automated reconciliations, and data quality monitoring in reporting pipelines