397 Fraud Analyst jobs in Singapore

Fraud Business Analyst - Fraud, Regional Operations

Department: Operations

Level: Experienced (Individual Contributor)

The Operation teams at Shopee cover the operational end-to-end process, from when the buyer searches for a product listed on the Shopee platform, to the moment the buyer receives the products. The team analyses and monitors operational KPIs across the region and conducts root cause analysis when operation performance fluctuates. The Operations team comprises Customer Service, Payment, Listings, Warehouse, Logistics, Seller Operations, and Fraud.

About the Team:

Shopee’s Regional Marketplace Operations department constantly solves problems and introduces innovative solutions to improve platform usability and enhance end-user experience for our buyers, sellers, and partners. Our teams sit at the core of our business and collaborate with various departments to manage end-to-end e-commerce processes and design scalable solutions to create impact across multiple markets. To do so, we deep dive into the fundamentals of each aspect and drive strategic initiatives to sharpen our policy, processes, and features for greater product and operational excellence.

Job Description:

Here at Shopee, we are dedicated to maintaining a secure and trusted platform to protect our business and our users’ interests.

As a Fraud Analyst, you will oversee the day-to-day fraud management and develop new techniques to detect and prevent the potential abuse of our platform. This includes defining performance metrics, analysing trends, identifying new fraud behaviour and modus operandi, scaling operational workflows, and designing new tools or processes to detect and prevent dishonest practices on our platform.

• Monitor and assess the platform risk to prevent fraudulent behaviour.
• Define key performance metrics and build detailed reporting models/ dashboards.
• Collaborate with cross-functional teams to analyse and provide insights/ recommend solutions across multiple markets.
• Evaluate and identify key process/ system improvements based on data insights to propose and drive new initiatives.
• Support fraud team with new initiatives/ ad hoc projects on fraud defenses.
• Prepare reports and presentation decks for regular management reporting.
• Proactively identify potential system or process gaps to reduce fraud incidents and react to fraud attacks quickly with effective solutions.

Requirements:

• Keen interest in fraud detection and prevention processes in the e-commerce industry.
• Strong investigative intuition and curiosity to understand the “whys” and “hows” of the ways things work.
• Experience in project management including process optimisation.
• Experience in collecting and analysing data sets to formulate insights and solutions to achieve team objectives.
• Ability to draw actionable insights from datasets; knowledge of SQL, Python or equivalent is a plus.
• Ability to pay attention to details and manage tasks effectively.
• Ability to thrive in a dynamic and collaborative environment to drive business goals and make an impact.
• Ability to communicate and collaborate with cross-functional teams and stakeholders.
• Passionate about developing and implementing new strategies to drive improvements.

AppleCare Fraud Investigations - Fraud Investigator (Korean)
The people here at Apple don’t just craft products, they build the kind of wonder that’s revolutionized entire industries! We believe that it’s the diversity of those people and their ideas that encourage the innovation that runs through everything we do, from amazing technology to industry-leading privacy and environmental efforts. Inclusion is a shared responsibility, and we hold ourselves and one another accountable for fostering a culture where everyone feels seen, heard and inspired to do their best work.
Description
The AppleCare Fraud Investigator role on our Strategic Data Solutions (SDS) team is responsible for the accurate investigation and decisioning of complex, multifaceted requests. An Investigator will review and investigate suspicious transactions to detect fraudulent activity, determining appropriate next steps. This role requires you to support and protect one of Apple’s most valued security features, resolve complex requests, and help prevent fraud.
Responsibilities include:
Reporting and tracking system issues and trends affecting customer satisfaction or department productivity.
Participating in project management and user acceptance testing (UAT).
Navigating support tools while maintaining effective communication and ensuring high-quality investigations, providing seamless support to business collaborators.
Protecting customer privacy by ensuring the integrity, accuracy, and confidentiality of their information.
Identifying and communicating trends and patterns to leadership.
Leveraging internal resources and analytical research for resolutions.
Monitoring transaction error trends and analyzing reports.
Identifying errors in processes and programs within business systems.
Handling enterprise-level agreement enrollment and supporting escalations.
Minimum Qualifications
Proficient in Korean and English (required for support in the Korean market).
Minimum of 3 years of experience in a customer service role.
Preferred Qualifications
Experience in fraud prevention roles.
Knowledge of SAP preferred.
Ability to collaborate cross-regionally with peers, managers, and business partners.
Attention to detail in case management, follow-up, and follow-through.
Target-oriented with ability to deliver results on time.
Strong organizational and multitasking skills.
Creative problem-solving and analytical skills.
Comfortable working in a queue-based environment.
Strong interpersonal skills and professional collaboration.
Resourcefulness and effective research skills.
Ability to identify process improvement opportunities and develop solutions.
Flexible and willing to take on new roles and responsibilities.
Resilient and self-motivated in a dynamic environment.
Motivated to develop the role and contribute to organizational success.
Embraces diverse perspectives and experiences, promoting inclusion and diversity.
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• Under Cards Operations Department
• Follow up with customers on unauthorised transactions
• Support AML monitoring efforts
• Liaise with internal teams on fraud-related cases
• Support in clearing dispute cases rejected by RPA
• Provide support in chargeback and recovery processes
• Prepare monthly and regulatory fraud reporting

Joy Yeow Zhi Qian

(CEI Registration No:R2096261)

Recruit Express Pte Ltd (EA Licence No: 99C4599)

• Under Cards Operations Department
• Follow up with customers on unauthorised transactions
• Support AML monitoring efforts
• Liaise with internal teams on fraud-related cases
• Support in clearing dispute cases rejected by RPA
• Provide support in chargeback and recovery processes
• Prepare monthly and regulatory fraud reporting

Joy Yeow Zhi Qian

(CEI Registration No:R2096261)

Recruit Express Pte Ltd (EA Licence No: 99C4599)

Binance is the global blockchain ecosystem behind the world’s largest cryptocurrency exchange. Trusted by over
250 million users
across more than 100 countries, Binance offers an unmatched suite of digital asset products, including trading, finance, payments, research, and more. The company is on a mission to increase financial freedom and accessibility through blockchain innovation.
Role Overview
As a
Risk Analyst (Fraud Prevention) , you will be part of the Risk Management team and play a crucial role in detecting and mitigating fraudulent activities, especially within the
card issuing scope . This includes monitoring onboarding, KYC processes, and transactional behavior. The position requires close collaboration with Security, Product, KYC Compliance, Customer Support, and Engineering teams to ensure Binance users enjoy a secure, fraud-resistant platform.
Key Responsibilities
Deploy fraud control measures and collaborate with Compliance to align rules with local regulatory requirements.
Monitor, analyze, and interpret user behavior, transaction patterns, and asset data to identify anomalies and fraud risks.
Develop and optimize fraud detection rules and alerts; enhance risk control efficiency.
Handle and escalate fraud cases with cross-functional teams including Compliance, Customer Support, and Product Management.
Support the continuous improvement of internal risk policies and automation of monitoring systems.
Requirements
Experience:
2–5 years in fraud detection, risk analysis, or a related domain—ideally in fintech, financial services, crypto, or card issuing.
Expertise:
Solid understanding of KYC requirements, fraud typologies, card scheme operations, and regulatory compliance.
Technical Skills:
Experience in complex fraud investigations; proficiency with transaction monitoring systems;
SQL or data analysis
experience preferred.
Analytical Thinking:
Strong critical thinking, attention to detail, and ability to analyze large datasets.
Integrity:
High discretion when working with sensitive data; professional skepticism and ethical conduct.
Work Ethic:
Comfortable working in a fast-paced, remote-first setting with multiple priorities.
Passion:
Genuine interest in blockchain, cryptocurrency, and digital financial technologies.
Why Join Binance?
Help shape the future with the world’s leading blockchain ecosystem
Collaborate with elite global talent in a flat, user-focused organization
Autonomy in high-impact, fast-moving projects
Continuous career growth, learning, and innovation
Competitive salary and comprehensive benefits
Flexible work-from-home arrangement (team-dependent)
Workplace Type
Remote
– Based in Singapore or open to international applicants depending on team needs.
Equal Opportunity Employer
Binance values diversity and inclusion. We are committed to creating a work environment that supports all backgrounds, perspectives, and abilities.
How to Apply
Apply directly via Binance Careers.
By applying, you confirm you have read and agree to Binance’s Candidate Privacy Notice.
Enterprise Product Manager, Integrations
Team Lead, Transaction Monitoring Compliance Operations
Operational Risk Senior Analyst, Business Resiliency - United Kingdom
CX WFM Capacity Planning Specialist - India
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Join to apply for the Anti-Fraud Operations Analyst/Officer (Detections) role at Tonik

Join to apply for the Anti-Fraud Operations Analyst/Officer (Detections) role at Tonik

Philippines - Operations

Apply for this position

As an Anti-Fraud Operations Analyst, you will play a vital role in safeguarding the financial integrity and reputation of our organization. Your primary responsibility will be to monitor and analyze customer transactions to detect and investigate potential instances of money laundering, fraud, or other suspicious activities. You will work closely with our compliance team and other stakeholders to ensure compliance with applicable laws, regulations, and internal policies.

Responsibilities

• Transaction Monitoring: Monitor and analyze customer transactions for potential money laundering, fraud, or other suspicious activities.
• Detection: Identify patterns, trends, and anomalies in transactional data to detect potentially suspicious activities.
• Compliance Assessment: Evaluate customer accounts and transactions to ensure compliance with anti-money laundering (AML) laws, regulations, and internal policies.
• Risk Assessment: Assess the potential risks associated with customer activities and transactions. Identify high-risk customers or transactions that require further scrutiny.
• Documentation and Reporting: Maintain accurate and detailed records of investigation findings, actions taken, and recommendations. Prepare and submit timely reports to management and regulatory authorities, as required.
• Collaboration: Collaborate with cross-functional teams, including compliance, legal, and other operation units, to develop and implement effective strategies to prevent and detect financial crimes.
• Knowledge Enhancement: Stay updated with evolving AML regulations, industry best practices, and emerging money laundering trends. Continuously enhance knowledge and skills related to AML compliance and transaction monitoring techniques.
  
  

• Education: Bachelor's degree in finance, accounting, business administration, or a related field.
• Experience: Previous experience in Fraud/AML compliance, financial crime investigations, or transaction monitoring is highly desirable.
• Knowledge: Familiarity with Fraud/AML laws, regulations, and industry standards. Understanding of transaction monitoring systems, methodologies, and tools.
• Analytical Skills: Strong analytical and critical thinking abilities to analyze complex transactional data and detect patterns or anomalies.
• Attention to Detail: Meticulous attention to detail to ensure accurate and thorough investigation and documentation.
• Communication: Excellent verbal and written communication skills to effectively present findings, write reports, and collaborate with stakeholders at all levels.
• Team Player: Ability to work collaboratively in a team environment, share knowledge, and contribute to the collective success of the organization.
• Integrity and Ethics: High ethical standards, integrity, and the ability to handle sensitive and confidential information with utmost discretion.

• Seniority level Entry level

• Employment type Full-time

• Job function Management and Manufacturing
• Industries Banking

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Anti-Fraud Operations Analyst/Officer (Detections)

Join to apply for the Anti-Fraud Operations Analyst/Officer (Detections) role at Tonik

Anti-Fraud Operations Analyst/Officer (Detections)

Join to apply for the Anti-Fraud Operations Analyst/Officer (Detections) role at Tonik

Philippines - Operations
Apply for this position
As an Anti-Fraud Operations Analyst, you will play a vital role in safeguarding the financial integrity and reputation of our organization. Your primary responsibility will be to monitor and analyze customer transactions to detect and investigate potential instances of money laundering, fraud, or other suspicious activities. You will work closely with our compliance team and other stakeholders to ensure compliance with applicable laws, regulations, and internal policies.
Responsibilities

• Transaction Monitoring: Monitor and analyze customer transactions for potential money laundering, fraud, or other suspicious activities.
• Detection: Identify patterns, trends, and anomalies in transactional data to detect potentially suspicious activities.
• Compliance Assessment: Evaluate customer accounts and transactions to ensure compliance with anti-money laundering (AML) laws, regulations, and internal policies.
• Risk Assessment: Assess the potential risks associated with customer activities and transactions. Identify high-risk customers or transactions that require further scrutiny.
• Documentation and Reporting: Maintain accurate and detailed records of investigation findings, actions taken, and recommendations. Prepare and submit timely reports to management and regulatory authorities, as required.
• Collaboration: Collaborate with cross-functional teams, including compliance, legal, and other operation units, to develop and implement effective strategies to prevent and detect financial crimes.
• Knowledge Enhancement: Stay updated with evolving AML regulations, industry best practices, and emerging money laundering trends. Continuously enhance knowledge and skills related to AML compliance and transaction monitoring techniques.
  

• Education: Bachelor's degree in finance, accounting, business administration, or a related field.
• Experience: Previous experience in Fraud/AML compliance, financial crime investigations, or transaction monitoring is highly desirable.
• Knowledge: Familiarity with Fraud/AML laws, regulations, and industry standards. Understanding of transaction monitoring systems, methodologies, and tools.
• Analytical Skills: Strong analytical and critical thinking abilities to analyze complex transactional data and detect patterns or anomalies.
• Attention to Detail: Meticulous attention to detail to ensure accurate and thorough investigation and documentation.
• Communication: Excellent verbal and written communication skills to effectively present findings, write reports, and collaborate with stakeholders at all levels.
• Team Player: Ability to work collaboratively in a team environment, share knowledge, and contribute to the collective success of the organization.
• Integrity and Ethics: High ethical standards, integrity, and the ability to handle sensitive and confidential information with utmost discretion.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Management and Manufacturing

• Industries

  Banking

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Responsibilities
About the team
Ecommerce's Governance and Experience(GNE) is a global team responsible for ensuring our marketplace is safe and trustworthy for not only users but also sellers and creators. We value user satisfaction and work on policies, rules, and systems to ensure quality. As the Anti-fraud analyst, you will be responsible for building, improving, and monitoring business processes that detect and prevent fraudulent activities in various scenarios including transactions, KYC, and seller-creator affiliation.
Responsibilities

• Apply investigational and analytic skills to monitor, audit, and analyze potential fraudulent cases and produce root cause analysis report with value-added risk mitigation suggestions.
• Collaborate with product managers, data scientists, and the engineering team to evaluate the efficiency of existing tools, processes, and models related to fraud management.
• Understand the trends and intelligence of fraudulent activities in each market and build intelligence systems to mitigate fraud.
• Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented.
• Drive process implementation and improvement that streamlines determination of fake orders, incentive abuse, and/or other types of fraud.
• Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.

Qualifications
Minimum Qualifications

• Bachelor's degree or above with a background in Computer Science, Business Analytic, Math, Statistics, or related field.
• Strong data analysis and correlation skills with ability to work through complex and unfamiliar data sets and able to derive the characteristics of different scenarios.
• Comfortable in a matrix organization and to drive cross-functional and cross-regional collaborations.
• Strong attention to detail and ability to notice discrepancies in data.
• Experience with SQL and analytical tools (SAS, R, Python) is a must.
• Experience with AI and machine learning is a plus.

Preferred Qualification
- Familiarity with risk and fraud in Ecommerce fields is a strong plus;
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Seniority level
Seniority level Associate
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries Technology, Information and Internet
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Risk Analyst (Anti-Fraud) - Monee Credit
Join to apply for the
Risk Analyst (Anti-Fraud) - Monee Credit
role at
Monee .
Job Description
Design and implement strategies for consumer loan anti-fraud, including application fraud, transactional fraud, and anti-cashout measures.
Establish key indicators to monitor fraudulent activities and regularly review and optimize strategies.
Perform data analysis on daily risk exposure & PnL, presenting findings and recommendations to senior management.
Analyze business operations and local market conditions to assess competitive positioning.
Create reports to track key performance indicators and improve business policies and processes.
Requirements
Bachelor’s degree or higher in Computer Science/Engineering, Business Analytics, IT, Finance/Banking, Statistics, or related fields.
1-4 years of experience in analytics roles.
Proficiency in SQL is mandatory; Python skills are a plus.
Knowledge of data visualization tools.
Experience with KYC risk management is highly preferred.
Ability to work effectively with cross-functional teams in a fast-paced environment.
Experience in finance or banking industry is preferred; experience in e-commerce BI is a plus.
Additional Information
Seniority level: Entry level
Employment type: Full-time
Job function: Finance and Sales
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