Senior Data Analytics Lead — ML/NLP for Banking

UOB; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

UOB is seeking a senior data analytics professional to lead large-scale projects in the wholesale banking space. The role emphasizes AFC/AML, advanced analytics, and machine learning models, with collaboration across internal and external stakeholders to translate data into business insights.

The ideal candidate has 7+ years in data analytics/science, deep ML/NLP expertise, and strong communication skills to support enterprise data initiatives within a financial services context.

Qualifications

• At least 7+ years of solid data analytics/science experience with hands-on capability in ML/NLP/OR, including Python/SAS/R and Hadoop/Spark.
• Excellent problem solver with knowledge of the financial industry; consulting experience is a plus.
• Strong sense of responsibility and teamwork.
• Good communication and interpersonal skills to interact with internal and external stakeholders at all levels.

Responsibilities

• Lead large-scale analytic projects in corporate space to drive business impact with a focus on AFC/AML
• Analyze macro and micro data to answer business questions via strategic analysis and ML/NLP models
• Coordinate with internal and external stakeholders to ensure data-to-insights conversion and implementation of insights

Skills

Python

SAS/R

Hadoop/Spark

Tools

Hadoop/Spark

Job description

UOB is seeking a senior data analytics professional to lead large-scale projects in the wholesale banking space. The role emphasizes AFC/AML, advanced analytics, and machine learning models, with collaboration across internal and external stakeholders to translate data into business insights.

The ideal candidate has 7+ years in data analytics/science, deep ML/NLP expertise, and strong communication skills to support enterprise data initiatives within a financial services context.