Business Technology Jobs

Data Analyst

An exciting opportunity for Data Analyst to work on projects for compliance surveillance systems support in processing analytics data, for a reputed bank. 

Mandatory Skill(s)

  • Degree or Diploma in Software Engineering, Computer Engineering, Information Technology and related Discipline;
  • Ability to work independently with Python and SQL and strong ability to process large volume of data;
  • Has knowledge and experience of creating Dashboards – either PowerBI / Tableau / Qlik;
  • Basic understanding of Rules Based and Machine Learning models;
  • Excellent interpersonal, communication skills and able to function with multiple teams;
  • Proactive with a go-getter attitude.

Desirable Skill(s)

  • Experience in AML/CFT;
  • Familiarity with SWIFT transactions and/or sanctions screening;
  • Work experience in banking industry.

Responsibilities

  • Collaborate with business units to investigate and resolve reported issues or queries related to compliance surveillance systems;
  • Process and analyze data to assist with investigations into Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT);
  • Perform tuning and optimization to enhance the functionality and efficiency of compliance surveillance systems;
  • Refine and optimize machine learning models to improve compliance monitoring and detection capabilities;
  • Participate in projects focused on the maintenance and enhancement of compliance surveillance systems and provide support for analytics data processing;
  • Demonstrate proactive learning and adaptability to stay informed about regulatory changes and advancements in compliance technology;
  • Effectively manage time and prioritize tasks to meet deadlines while maintaining high-quality outputs.

If you are interested in this role, click on the “Apply to this job” button below or you could also write in with your CV to Xuan Yi Lim at xuanyi.lim@sciente.com quoting the job title.

Xuan Yi Lim
Associate Consultant – IT Recruitment Consulting
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