VP, AML Analytics & Data Automation

United Overseas Bank Limited (UOB); Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading Asian bank in Singapore is looking for an Anti Financial Crime (AFC) Analytics Specialist to enhance its analytical capabilities. The role involves building and maintaining analytical models, supporting model governance, and collaborating with various business functions. Ideal candidates should have a Bachelor's degree in a relevant field, at least 6 years of experience in advanced analytics, and proficiency in tools like SQL and Python. Join the team and be a part of a collaborative environment focused on compliance and risk management.

Qualifications

• Minimum 6 years of experience in technology and advanced analytical models/tools.
• Experience or familiarity with AML compliance risks analytics.
• Proficient in data analysis tools and comfortable with structured/unstructured data.

Responsibilities

• Build UOB's AFC analytical capabilities in response to requests.
• Develop model narratives and collaborate with stakeholders.
• Support model maintenance and governance processes.

Skills

Data analysis

Project management

Analytical model development

Statistical analysis

Communication skills

Education

Bachelor's degree in Data Science, Statistics, Finance, or a related field

Master's degree or relevant professional certifications

Tools

SQL

R

Python

SAS

Hive

Spark

Impala

Job description

A leading Asian bank in Singapore is looking for an Anti Financial Crime (AFC) Analytics Specialist to enhance its analytical capabilities. The role involves building and maintaining analytical models, supporting model governance, and collaborating with various business functions. Ideal candidates should have a Bachelor's degree in a relevant field, at least 6 years of experience in advanced analytics, and proficiency in tools like SQL and Python. Join the team and be a part of a collaborative environment focused on compliance and risk management.