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Jobs in Singapore   »   Jobs in Singapore   »   Systems Programmer- Anti-Fraud Management
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Systems Programmer- Anti-Fraud Management

Optimum Solutions (singapore) Pte Ltd

Optimum Solutions (singapore) Pte Ltd company logo

Optimum Solutions (Registration Number: 199700895N) is Singapore's leading Information Technology , Consulting and Professional Services company with Competence in Digital Transformation, Automation, Robotics, Cloud, Big Data, Analytics and Emerging technologies projects. Optimum has been successfully delivering IT projects since 1997 and has been a key IT service provider to clients delivering Software Design, Development, Engineering and IT Transformation Projects.

Role : Systems Programmer- Anti-Fraud Management

Job Description / Key Requirements:

Mandatory is:

  • Must have 6+ years working experience in Business Analysis/Systems Analysis .
  • 2-3 years Recent working experience Anti-Fraud Management as a Business Analyst is a must.
  • Must-have skill : Hands on experience on writing user stories and approximate # of stories written (2-3 years recent)
  • Domain knowledge on (keywords) aside the usuals wholesale/corporate banking.
  • Must have Agile product development experience.
  • Current role must be as Business / Business Consultant /Analyst for last 3+ years.
  • Must have working experience in gathering requirement from business and maintain BRD, FSD –Must
  • Successful track record of managing Agile transformation program/projects (Preferably using SAFe) – 3+ years Expert in using common agile tools such as JIRA and Confluence, and knowledge of DevOps processes and tools such as Bitbucket, Git, Jenkins etc- Good to have
  • Extremely detail oriented.
  • Write and maintain programmable code outlined in technical instructions and specifications for software applications and operating systems.
  • Domain – Wholesale or Corporate banking

Must have recent working experience in following areas:

  1. Fraud Prevention / Monitoring /Management
  2. Fraud Detection
  3. Payment Fraud
  4. Scam Analysis



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