First Vice President, Data Analytics

United Overseas Bank; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A leading financial institution in Singapore is seeking an experienced analytics professional to lead large-scale projects within corporate banking, focusing on Anti-Financial Crime and Anti-Money Laundering initiatives. The candidate will analyze complex datasets and develop predictive models to support risk management frameworks. Ideal candidates should have 710 years of experience in data analytics and strong expertise in machine learning and natural language processing. This position offers impactful work in a dynamic environment.

Qualifications

• 710 years of experience in data analytics/science with expertise in machine learning and natural language processing.
• Hands-on experience with analytics tools such as Python, R, SAS, Hadoop, or Spark.
• Strong problem-solving skills and understanding of financial industry operations.

Responsibilities

• Lead large-scale analytics projects in AFC/AML.
• Analyze structured and unstructured data through strategic analysis and machine learning.
• Develop models to support risk management and compliance initiatives.
• Coordinate with teams to turn data into actionable insights.
• Provide recommendations for operational effectiveness and risk mitigation.

Skills

Machine learning

Natural language processing

Data analysis

Python

R

SAS

Hadoop

Spark

Problem-solving

Job description

The role is responsible for leading large-scale analytics projects within the corporate banking space, focusing on Anti-Financial Crime (AFC) and Anti-Money Laundering (AML) initiatives. The candidate will analyze complex datasets, develop advanced models, and provide actionable insights to drive business impact and enhance risk management frameworks.

Key Responsibilities

Analytics & Modelling

• Lead large-scale analytics projects targeting corporate clients to drive business impact in AFC/AML.
• Analyze structured and unstructured data to answer business questions through strategic analysis, machine learning, and natural language processing models.
• Develop, validate, and implement predictive and pre ive models to support AFC/AML risk management and compliance initiatives.

Stakeholder Coordination

• Coordinate with internal teams and external partners to ensure smooth conversion of data into actionable insights.
• Ensure the successful implementation of insights and recommendations into business processes.

Business Impact & Advisory

• Provide data-driven recommendations to business units to enhance operational effectiveness and risk mitigation.
• Translate complex analytical findings into actionable strategies for senior management and stakeholders.

Requirements

• 710 years of experience in data analytics/science, with expertise in machine learning, natural language processing, and operations research.
• Hands-on experience with Python, R, SAS, Hadoop, Spark, or equivalent analytics tools.
• Strong problem-solving skills with solid understanding of financial industry operations.
• Consulting experience is a plus.
• Demonstrated sense of responsibility, teamwork, and ability to work in dynamic environments.