AML Data Analyst

SLOANE SHOREY CONSULTING PTE. LTD.; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as an AML Data Analyst, where you will leverage your AML expertise and data analytics skills to develop innovative solutions. In this hands-on role, you will collaborate with internal stakeholders to create tailored AML data models and reports that enhance transaction monitoring and risk assessment. Your ability to analyze data for trends and anomalies will be crucial in combating financial crime. This position offers a unique opportunity to make a significant impact in the financial compliance space while working in a dynamic environment that values creativity and problem-solving.

Qualifications

• 2-5 years of experience in AML or financial crime compliance.
• Proficiency in Python for data analysis and automation.

Responsibilities

• Gather and understand AML data and reporting requirements.
• Develop and enhance AML data models and analytical tools.

Skills

AML Knowledge

Data Analytics

Python

SQL

Problem-solving

Job description

AML Data Analyst

We are seeking an AML Data Analyst to support the development of new AML data solutions. This is a hands-on role requiring a blend of AML domain knowledge, data analytics expertise, and Python coding skills. You will work closely with internal stakeholders to understand their requirements and build tailored solutions from the ground up.

Key Responsibilities:

• Work with internal stakeholders to gather and understand AML data and reporting requirements.
• Develop and enhance AML data models, reports, and analytical tools using Python and other relevant technologies.
• Design and implement new solutions to improve transaction monitoring, risk assessment, and regulatory reporting.
• Conduct data analysis to identify trends, patterns, and anomalies relevant to financial crime.
• Document processes and maintain clear, organized records of data workflows and system changes.

Key Requirements:

• 2–5 years of experience in AML, financial crime compliance, or related areas, with strong exposure to data analytics.
• Proficiency in Python for data analysis and automation; experience with SQL or similar tools is an advantage.
• Strong problem-solving skills with the ability to work independently and propose creative solutions.
• Confident communicator, comfortable engaging with senior stakeholders and translating business needs into technical requirements.