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Open nowPosted 65 days ago

Fraud Analyst (Project Based)

Workable (global search)109,826 open roles

Where
Quezon City, Metro Manila, Philippines
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Your applicationOpen nowFraud Analyst (Project Based)Workable (global search) · Quezon City, Metro Manila, Philippines

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 65 days ago

Workable (global search) median: 2 days open

The posting

About GoTyme

GoTyme is a joint venture between the Gokongwei Group, one of the biggest conglomerates in the Philippines, and the Singapore-headquartered digital banking group Tyme. This venture combines the trusted Gokongwei brand, customer base, and distribution ecosystem with Tyme’s globally proven digital banking technology and hands-on experience building South Africa’s leading digital bank, TymeBank, one of the fastest-growing digital banks in the world today.

At GoTyme, we have embarked on a journey to democratize financial services and bring next-level banking to the Philippines. We seek individuals who share our belief that the game is worth changing, to join our growing team of GoTymers as we build, launch, and scale a bank that empowers all Filipinos to navigate a path to financial freedom.

About the role

The Fraud Analyst (Non-Lending) monitors and investigates suspicious activity across non-lending products to ensure timely, accurate, and compliant fraud alert resolution. This role executes end-to-end case handling, including evidence gathering, decisioning, documentation, and required reporting in line with internal controls and regulatory expectations. The analyst supports fraud loss reduction by identifying trends, strengthening investigation quality, and contributing to automation or process improvement initiatives.

  • Review and action assigned fraud queues for non-lending products, ensuring timely triage, investigation, and disposition of alerts/cases.
  • Investigate non-lending fraud typologies (e.g., account takeover, scam/fraud transfers, mule activity, social engineering, card/e-wallet fraud, transaction anomalies, merchant/beneficiary risks where applicable).
  • Validate transactions and customer activity using internal systems, case tools, and available data sources to form evidence-based decisions.
  • Ensure high-quality case documentation including rationale, key findings, supporting evidence, and correct tagging/classification.
  • Execute AFASA-related processes end-to-end, including funds actioning, case updates, and disposition tracking within required timelines.
  • Complete final disposition communication and ensure required stakeholders (e.g., SAO/BAO) are notified within process timeframes.
  • Prepare and submit incident reports and RCLs accurately and completely, following governance requirements and templates.
  • Escalate high-risk, complex, or time-sensitive cases promptly to senior team members and relevant stakeholders.
  • Support data integrity by validating inputs, case attributes, and system outputs; report discrepancies and track to closure.
  • Identify recurring patterns and root causes contributing to fraud losses and recommend control/process improvements.
  • Participate in at least one AI/automation or continuous improvement initiative (e.g., investigation checklists, prompt/playbook creation, workflow optimization, simple analytics).
  • Adhere to SOPs, controls, and audit-ready standards, and complete mandatory 70:20:10 development activities.
  • Assistance in court appearances as needed.

Requirements

Must Haves

  • A Bachelor's Degree in any related field. A graduate of a non-technical course is acceptable, with strong technical aptitude.
  • Must be open to a project-based role for 6 months.
  • Proven experience in transaction monitoring within a banking or financial services environment
  • Strong analytical skills and attention to detail
  • Ability to navigate and leverage new tools and technologies for fraud detection
  • Excellent communication and teamwork skills
  • Comfortable working in a dynamic, agile environment
  • Experience handling non-lending fraud cases (payments/transactions/channel fraud) and using case management and monitoring tools
  • Experience in Fraud Management/Transaction Monitoring. Familiar with MORB Guidelines and AFASA.
  • Strong logical reasoning and investigative mindset
  • Good to have: SQL and/or a programming language for data checks, basic analysis, and investigation support
  • Strong attention to detail and ability to produce clear, defensible case narratives
  • Ability to prioritize workload, manage timelines, and escalate appropriately
  • Collaboration skills to work effectively with cross-functional teams (Ops, Risk, Compliance, Product as needed)
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