Reviews fraud appeals, high-risk transactions, pending payments, and chargebacks. Verifies customer and payment documentation, analyzes user behavior and fraud trends, handles escalations, prepares representment cases, follows evolving SOPs, and completes reviews within SLA and accuracy targets while enforcing policies and protecting the platform.
Qualifications
Minimum Skills to Hire:
- Candidates with Bachelor Degree in accounting, finance relevant with Fraud, Chargeback and Appeal
- Candidates with fraud manual review experience (at least 1-3 years): including reviewing user appeal document, user analysis and trend analysis.
- Candidates are expected to have the ability to catch up start up fast-paced environment and working mindset on thinking out of the box.
- Candidates are expected to understand payment chain where included CCDC, PAYPAL, E-wallet and so on.
- Candidates are expected to understand fraud trend and fraud chargeback also experience of handling such scenario.
- Candidates are expected to have "moving forward" and "never stop learning" spirit where risk operation faced varies business line (not focused on only 1) and it will require outsource member to learn fast and think fast.
- Averagely, amendment and update of SOP held once every month, candidates are required to learn and adapt changes fast too.
- Candidates are expected to complete cases from targeted SLA with standard level of x% accuracy rate.
Preferred Requirements
- Proficiency in English and Multi-lingual is highly preferred (depends on the market assignment)
- Fraud Manual Review, User Appeal and Trend Analysis operations experience is preferred
- Strong analytical and research skills
- Knowledge Ability to work in a fast and evolving environment with detail-oriented focus.
- Experience in Payment services and Fraud and Risk Operations is an added advantage.
- Experience in Microsoft Office Suite is preferred
- Preferably to have a typing speed of at least 40 words per minute
Responsibilities:
- Focus on appeal cases received from business line, case received from customer with proof document will send through CMS system to team analyst to decide, if possible, to release user from blacklist.
- Analyst to match all the proof documents details including card number, payment name, payment email and so on
- Focus on completed transaction that being flagged with high-risk flag where cases will be sent to analysts for post manual review to evaluate if is a potential fraud. Case source included model, blacklist backtrack and so on.
- According to different business line, the key element may differ. Analyst is required to understand the business model of every business line to make accurate risk evaluation. Post manual review is focused on user behaviour analysis where it is not only looking at single transaction.
- Standard SOP will be provided with immediate action to share fraud trend instantly to fraud strategy team.
- User analysis steps, actions and result will be included in SOP. At the same time, SOP will constantly update and amend to achieve high accurate case check.
- Pending review is referring to transaction being hold for x hours during time of transacting. Those transaction will be sent to manual pending review for analysts to evaluate the risk level before accepting it.
- Focus on handling customer escalation cases rejection reason check, user analysis and reply user with standard reply.
- According to SOP, follow the action stated for relevant result including proactive whitelist, release user and document submission action
- Strictly following chargeback operation standard SOP and requirement to handle representment case, candidates with chargeback handling experience is more preferrable.
- To complete the chargeback case within SLA/Pre-set time given, ensure all the representment documents are gathered correctly and match the case with chargeback reason.
- Protect our ecosystem, prevent fraudulent activity, enforce our TOS and policies, ensuring compliance across a global user base of millions
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Owns UX and product design projects from problem framing through developer handoff. Responsibilities include user research synthesis, competitive analysis, user flows, wireframes, prototypes, high-fidelity UI designs, stakeholder presentations, cross-functional collaboration, and design-system development. The role champions user and business needs, iterates collaboratively, and designs mobile-first applications using Figma in an agile environment.
Top Skills:
FigmaJIRA
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provides high-level executive and administrative support to the Chief Medical Officer and broader leadership office. Responsibilities include complex calendar management, travel and meeting coordination, executive materials preparation, follow-up tracking, approval and access workflows, leadership communications, onboarding, and logistics. The role requires discretion, independent judgment, strong organization, and effective coordination across teams in a confidential, fast-paced environment.
Top Skills:
ExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft Word
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Performs inpatient utilization reviews using evidence-based criteria, collaborates with healthcare professionals and medical directors, identifies care delays, supports appropriate care-level decisions, facilitates discharge planning, manages referrals, maintains regulatory compliance, and participates in audits, education, meetings, and process improvement. The role requires clinical nursing expertise, utilization review experience, effective communication, and independent remote work.
Top Skills:
Clinical PlatformsInterqualMcgExcelMS OfficeMicrosoft OutlookWindows
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

