Senior Data Analytics Engineer — ML, Strategy & Governance

Maybank

Kuala Lumpur

On-site

MYR 180,000 - 240,000

Full time

2 days ago
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Job summary

Maybank in Kuala Lumpur is seeking an senior data science professional to design, develop and deploy advanced analytics solutions that drive business decisions and operational efficiency. You will collaborate with business units, data scientists and tech teams to translate challenges into data-driven solutions aligned with the bank's data strategy.

Responsibilities include end-to-end model lifecycle, staying ahead of AI/ML trends, and ensuring compliance with governance, privacy and risk

Qualifications

  • Bachelor's or Master’s degree in CS/DS/Math/Stats/Engineering.
  • 6–10 years in data science, analytics, or AI/ML roles.
  • Track record delivering analytics-driven outcomes in financial services.
  • Experience in regulated environments with data governance and risk compliance.
  • Certifications in Data Science or ML.
  • Cloud platform certifications (AWS/Azure/GCP) are advantageous.
  • Compliance with model validation and risk certifications where required.

Responsibilities

  • Design and implementation of ML and statistical models aligned with business objectives.
  • Partner with stakeholders to identify business problems where data science adds value.
  • Oversee full lifecycle of model development, from data acquisition and feature engineering to deployment and monitoring.
  • Stay abreast of emerging AI/ML trends and technologies; evaluate and introduce suitable innovations.
  • Ensure all analytics initiatives adhere to data governance, privacy, and model risk management policies.
  • Work closely with Data Engineering, IT, and Business teams to ensure seamless integration of analytics solutions.
  • Strong proficiency in machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and data analytics tools (Python, R, SQL).
  • Deep understanding of big data platforms and cloud-based data ecosystems (Hadoop, Spark, Databricks, Azure/GCP/AWS).
  • Excellent business acumen with ability to translate analytics into strategic insights.
  • Strong leadership, stakeholder management, and communication skills.
  • Familiarity with data privacy, model governance, and ethical AI principles.
  • Agile delivery methodologies and experience with product lifecycle management in analytics projects.

Skills

Python
R
SQL
Scikit-learn
TensorFlow
PyTorch
Big data
Leadership
Stakeholder management
Communication

Education

BSc/ MSc
Data Science cert
Cloud certs
Banking/reg compliance

Tools

Hadoop
Spark
Databricks
AWS
Azure
GCP

Job description

Maybank in Kuala Lumpur is seeking an senior data science professional to design, develop and deploy advanced analytics solutions that drive business decisions and operational efficiency. You will collaborate with business units, data scientists and tech teams to translate challenges into data-driven solutions aligned with the bank's data strategy.

Responsibilities include end-to-end model lifecycle, staying ahead of AI/ML trends, and ensuring compliance with governance, privacy and risk

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