VP Data Analytics: AML/ML Insights for Corporate Banking

United Overseas Bank Limited (UOB); Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading bank in Asia is seeking an experienced data analyst to lead large-scale analytic projects focused on Anti-Financial Crime (AFC) and Anti-Money Laundering (AML). The ideal candidate has 7-10 years of data analytics/science experience, strong expertise in machine learning and natural language processing, and excellent problem-solving skills. This role involves analyzing data, coordinating with various stakeholders, and ensuring effective implementation of insights. Join us to make a difference in the financial industry.

Qualifications

• 7-10 years of data analytics/science experience.
• Deep technical expertise in ML/NLP/OR.
• Hands-on capability with Python, SAS, R, Hadoop, Spark.
• Excellent problem-solving skills and understanding of the financial industry.
• Good communication and interpersonal skills.

Responsibilities

• Lead large scale analytic projects for business impact focusing on AFC/AML.
• Analyze macro and micro data using strategic analysis and models.
• Coordinate with stakeholders for smooth data-to-insights conversion.

Skills

Data analytics/science

Machine learning

Natural Language Processing

Python

SAS

R

Hadoop

Spark

Job description

A leading bank in Asia is seeking an experienced data analyst to lead large-scale analytic projects focused on Anti-Financial Crime (AFC) and Anti-Money Laundering (AML). The ideal candidate has 7-10 years of data analytics/science experience, strong expertise in machine learning and natural language processing, and excellent problem-solving skills. This role involves analyzing data, coordinating with various stakeholders, and ensuring effective implementation of insights. Join us to make a difference in the financial industry.