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Senior Technical Data Analyst

XML INTERNATIONAL BUSINESS SOLUTIONS (SINGAPORE) PRIVATE LTD.

Singapore

On-site

SGD 80,000 - 120,000

Full time

Today
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Job summary

A leading international business solutions firm in Singapore is seeking a highly skilled Senior Technical AML Data Analyst. You will support AML data initiatives, ensure compliance with regulations, and work with large data environments. The ideal candidate has over 5 years of experience in AML data analysis, strong technical skills in PL/SQL and Python, and a thorough understanding of FinTRAC regulations. This position offers opportunities for collaboration within a fast-paced environment.

Qualifications

  • 5+ years of experience in data analysis with a focus on AML or regulatory compliance.
  • Strong understanding of FinTRAC regulations and reporting requirements.
  • Proficiency in PL/SQL, Python, and ETL tools and frameworks.

Responsibilities

  • Analyse and support AML data projects.
  • Contribute to the successful implementation of FinTRAC reporting.
  • Manage and process large volumes of data efficiently.
  • Design and implement data quality checks and ETL controls.
  • Collaborate with cross-functional teams.

Skills

Analytical skills
PL/SQL
Python
ETL tools
Problem-solving
Communication skills
Job description

We are looking for a highly skilled and detail-oriented Senior Technical AML Data Analyst to support and enhance our Anti-Money Laundering (AML) data initiatives. This role requires strong technical expertise in data analysis, regulatory reporting (including FinTRAC), and the ability to manage large-scale data environments. The ideal candidate will have hands-on experience with PL/SQL, Python, and ETL processes, and will play a key role in implementing data controls and supporting compliance efforts.

Key Responsibilities
  • Analyse and support AML data projects, ensuring compliance with internal policies and regulatory requirements.
  • Contribute to the successful implementation of FinTRAC reporting and related compliance frameworks.
  • Manage and process large volumes of data efficiently, ensuring accuracy, consistency, and performance.
  • Design and implement data quality checks, ETL controls, and validation processes to ensure data integrity.
  • Develop and maintain complex queries and scripts using PL/SQL, Python, and other relevant tools.
  • Collaborate with cross-functional teams including Compliance, IT, and Data Engineering to deliver AML solutions.
  • Provide technical insights and recommendations to improve data processes and reporting capabilities.
Skills Required
  • Strong understanding of FinTRAC regulations and reporting requirements.
  • Proficiency in PL/SQL, Python, and ETL tools and frameworks.
  • Experience working with large datasets and implementing data controls.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
Minimum Years of Experience
  • 5+ years of experience in data analysis with a focus on AML or regulatory compliance
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