Data Science and Engineering Lead

2 weeks ago

Batu Pahat, Johor, Malaysia Credable Group Full time

About Credable Group

Credable Group is a leading provider of digital banking solutions, empowering financial institutions to reach underserved populations in emerging markets. Our cutting-edge platform integrates telco, banking, and alternative data to create innovative credit models for the underbanked.

As a leader in this space, we prioritize democratizing financial services, leveraging AI and behavioral science to enhance credit performance and customer engagement. Our mission is to become the most trusted source of data in emerging markets.

The Role

This exciting opportunity involves driving the development and execution of our data science strategy to support business growth, embedded finance, and new market expansion. You will collaborate with cross-functional teams to integrate data science into decision-making and operational processes.

Key Responsibilities

Strategic Leadership & Business Impact

  • Develop and execute a data-driven strategy to drive business growth, embedded finance, and new market expansion
  • Leverage AI and behavioral science insights to enhance credit performance, customer engagement, and savings adoption
  • Partner with product, risk, and engineering teams to integrate data science into decision-making and operational processes

Model Development & AI Governance

  • Design, develop, and deploy AI-powered credit scoring models that ensure high performance, fairness, and explainability
  • Lead experimentation and A/B testing initiatives to enhance underwriting, portfolio management, and product innovation

Data Infrastructure & Scalability

  • Work with Engineering to expand data science capabilities to support multiple markets, focusing on scalability and adaptability
  • Ensure data integrity, security, and compliance across all data science initiatives

Team Leadership & Development

  • Promote best practices in model development, MLOps, and responsible AI within the team
  • Foster cross-functional collaboration to maximize the value of data science across the organization

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