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Senior Business Analyst - Fraud Detection & Prevention

Unison Consulting Pte Ltd

Singapore

On-site

USD 60,000 - 100,000

Full time

30+ days ago

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Job summary

An established industry player is looking for a Senior Business Analyst specializing in Fraud Detection and Prevention. This role involves leading business analysis efforts, collaborating with stakeholders, and enhancing fraud prevention systems. Ideal candidates will have significant experience in fraud detection methodologies and the ability to perform knowledge transfer to internal teams. Join a dynamic environment where your expertise will contribute to innovative solutions in the banking and fintech domains. If you are passionate about combating fraud and have a strong analytical mindset, this opportunity is perfect for you.

Qualifications

  • Experience in fraud detection and prevention methodologies.
  • Strong business analysis and documentation skills.

Responsibilities

  • Lead business analysis for fraud detection initiatives.
  • Collaborate with stakeholders to enhance fraud prevention systems.

Skills

Fraud Detection Methodologies
Business Analysis
Stakeholder Management
Documentation Skills
Analytical Skills

Education

Bachelor's Degree in Business or related field
Relevant Certifications (e.g., CBAP)

Tools

Fraud Detection Software
Data Analysis Tools

Job description

Senior Business Analyst - Fraud Detection & Prevention

Job Summary:

We are seeking Senior Business Analysts (BAs) with deep domain expertise in Fraud Detection and Prevention. Ideal candidates should have significant hands-on experience and be capable of providing reverse knowledge transfer (KT) to our team. Candidates from product companies or implementation teams of fraud detection platforms are highly encouraged to apply.

Key Responsibilities:

  • Lead the business analysis efforts for fraud detection and prevention initiatives.
  • Work closely with stakeholders, technical teams, and product vendors to understand current systems and identify fraud prevention enhancements.
  • Perform reverse KT, sharing knowledge of fraud detection methodologies, tools, and frameworks with internal stakeholders.
  • Analyze fraud patterns, threats, and trends to develop effective detection strategies.
  • Document business processes, functional requirements, user stories, and use cases in alignment with anti-fraud objectives.
  • Collaborate with technical teams during solution design, development, and testing phases.
  • Stay updated on industry best practices, regulations, and fraud schemes in digital channels, banking, etc.


Preferred Backgrounds:
  • Candidates from firms that build or implement fraud detection software.
  • Previous experience working in banking, fintech, or risk consulting firms.

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