Data Innovations Engineer: AI, ML & Analytics for Finance

Metrobank

Pasay

On-site

PHP 900,000 - 1,300,000

Full time

2 days ago
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Job summary

Metrobank in the Philippines is seeking a Data Innovations Engineer to design, develop, deploy, and maintain AI, GenAI, ML, and advanced analytics initiatives across the Finance and Control Sector. You will work with trusted data assets and the Enterprise Data Platform to deliver scalable solutions that improve accounting, budgeting, reporting, and forecasting, enabling informed decisions.

The role emphasizes governance, security, and collaboration with cross-functional teams to scale

Qualifications

  • Bachelor’s degree in a data-related field.
  • 3–5 years of experience in ML, AI, analytics, or data engineering.
  • Experience with end-to-end data/AI solutions in enterprise environments.
  • Experience with structured and unstructured data.

Responsibilities

  • Design, develop, deploy, and maintain data innovation initiatives for Finance and Control sector.
  • Leverage Enterprise Data Platform to ensure scalability and integration with systems.
  • Build reusable data assets and accelerators for data innovation.
  • Ensure data governance, quality, and security for enterprise data and AI.
  • Evaluate emerging technologies and scale successful proofs of concept.

Skills

Data Science
Machine Learning
Advanced Analytics
Data Engineering

Education

Bachelor’s Degree in Data Science, Computer Science, Engineering, Information Technology, Mathematics, Statistics, or related fields

Tools

Azure
AWS
Google Cloud
Snowflake

Job description

Metrobank in the Philippines is seeking a Data Innovations Engineer to design, develop, deploy, and maintain AI, GenAI, ML, and advanced analytics initiatives across the Finance and Control Sector. You will work with trusted data assets and the Enterprise Data Platform to deliver scalable solutions that improve accounting, budgeting, reporting, and forecasting, enabling informed decisions.

The role emphasizes governance, security, and collaboration with cross-functional teams to scale

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