Fraud Analyst (Project Based)

Gotyme Gotyme; Philippines; Presencial; PHP 357.000 - 580.000; Jornada completa

Descripción de la vacante

GoTyme is seeking a Fraud Analyst (Project Based) to monitor and investigate non-lending fraud activity, ensuring timely, accurate resolution and compliance. You will perform end-to-end case handling, gather evidence, and support fraud loss reduction through trend analysis and process improvements.

The role requires a Bachelor's degree and experience in transaction monitoring, with strong analytical, communication, and teamwork skills.

Formación

• Bachelor's Degree in any related field; non-technical degrees acceptable with strong aptitude.
• Open to a project-based role for 6 months.
• Experience in transaction monitoring within banking/financial services preferred.
• Strong analytical skills and attention to detail; ability to navigate new tools for fraud detection.
• Excellent communication and teamwork; comfortable in dynamic, agile environments.
• Experience handling non-lending fraud cases and using case management tools.
• Familiarity with MORB Guidelines and AFASA is a plus.
• Good to have SQL or basic programming for data checks and investigation support.

Responsabilidades

• Review and action assigned fraud queues for non-lending products with timely triage and disposition.
• Investigate non-lending fraud typologies (account takeover, scams, mule activity, etc.).
• Validate transactions and customer activity to form evidence-based decisions.
• Ensure high-quality case documentation with rationale and evidence.
• Execute end-to-end AFASA processes, including funds actioning and disposition tracking.
• Prepare incident reports and notify stakeholders within timelines.
• Escalate high-risk or time-sensitive cases to senior team members.
• Support data integrity by validating inputs and reporting discrepancies.
• Identify root causes and contribute to control improvements.
• Participate in AI/automation or continuous improvement initiatives.
• Adhere to SOPs and complete development activities.

Conocimientos

Analytical skills

Attention to detail

Communication and teamwork

Adaptability to new tools

Investigative mindset

Time management

Cross-functional collaboration

Educación

Bachelor's degree in any related field

Herramientas

SQL

Programming language

Descripción del empleo

Job Description - Fraud Analyst (Project Based)

Company : Gotyme Gotyme Job Type : Full Time Quezon City, Philippines

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

TheFraudAnalyst (Non-Lending) monitors and investigatessuspiciousactivity across non-lendingproducts to ensuretimely,accurate, and compliant fraud alert resolution. This role executes end-to-end case handling, including evidence gathering, decisioning, documentation, and required reportingin line with internal controls and regulatory expectations. The analyst supports fraud loss reduction byidentifyingtrends, 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 processtimeframes.
• 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.
• Assistancein 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 andleveragenew 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 escalated appropriately
• Collaboration skills to work effectively with cross-functional teams (Ops, Risk, Compliance, Product as needed)