AI Product Manager — Credit & Risk Solutions

Lenovo

Petaling Jaya

On-site

MYR 200,000 - 420,000

Full time

14 days+

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Job summary

Lenovo seeks a seasoned AI/ML strategy and analytics leader in Malaysia to define the AI vision and build a Center of Excellence supporting leasing business processes. You will drive governance, data privacy, and performance metrics while partnering with Commercial, Credit, Risk, and Operations leaders to maximize efficiency and revenue.

The role focuses on credit risk intelligence, NLP-based automation, predictive pricing, and portfolio analytics, with a strong emphasis on governance and

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, Finance, or related field; Master’s or PhD preferred.
  • 10+ years in data science, AI/ML, or analytics leadership roles; 5+ years in financial services or leasing/finance.
  • Proven track record deploying AI/ML solutions in production at scale within regulated financial environments.

Responsibilities

  • Define the AI Vision: Develop and execute a comprehensive AI roadmap aligned with the leasing business strategy and lifecycle.
  • Establish the CoE Framework: Governance, operating model, best practices, data privacy protocols, and performance metrics.
  • Stakeholder Engagement: Partner with Commercial, Credit, Risk, Operations, and DT leaders to identify AI opportunities.

Skills

AI strategy & leadership
Stakeholder engagement
Model governance
ML model development
Data governance

Education

Bachelor's degree in CS/Data Science/Engineering/Finance
Master's or PhD preferred

Tools

Python
SQL
TensorFlow / PyTorch

Job description

Lenovo seeks a seasoned AI/ML strategy and analytics leader in Malaysia to define the AI vision and build a Center of Excellence supporting leasing business processes. You will drive governance, data privacy, and performance metrics while partnering with Commercial, Credit, Risk, and Operations leaders to maximize efficiency and revenue.

The role focuses on credit risk intelligence, NLP-based automation, predictive pricing, and portfolio analytics, with a strong emphasis on governance and

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