Monitor transactions, investigate fraud alerts and disputes, identify fraud patterns, maintain detection rules, and recommend controls to reduce financial and operational risk. The role analyzes transaction data, prepares fraud reports and dashboards, supports risk assessments and incident response, and collaborates with Product, Engineering, Compliance, Operations, and Risk teams. It also requires knowledge of payment fraud, chargebacks, AML/KYC principles, and regulatory compliance.
This is a remote position.
The Fraud Analyst is responsible for monitoring transactions, identifying suspicious activities, investigating fraud cases, and recommending controls to minimize financial and operational risk. The role works closely with Product, Compliance, Engineering, Operations, and Risk teams to strengthen fraud prevention capabilities and enhance customer trust.
Key Responsibilities
- Monitor transactions and identify suspicious or fraudulent activities.
- Investigate fraud alerts, incidents, and customer disputes.
- Analyze fraud patterns, trends, and emerging threats to recommend preventive measures.
- Develop and maintain fraud detection rules and monitoring processes.
- Collaborate with Product, Engineering, Compliance, and Operations teams to implement fraud controls.
- Support root cause analysis and recommend process improvements.
- Prepare fraud reports, dashboards, and key risk metrics.
- Assist with fraud risk assessments and control reviews.
- Ensure compliance with internal policies and regulatory requirements.
- Support incident response and fraud awareness initiatives.
Required Qualifications
- Bachelor's degree in Finance, Business, Computer Science, Risk Management, or a related field.
- 3–6 years of experience in fraud analysis, fraud operations, risk management, or financial crime.
- Experience working in fintech, banking, payments, or digital financial services.
- Strong analytical and investigative skills.
- Experience interpreting transaction data and identifying fraud patterns.
- Excellent communication and stakeholder management skills.
- Ability to work effectively in fast-paced, cross-functional environments.
Technical & Functional Skills
- Fraud monitoring and investigation
- Transaction monitoring systems
- Fraud detection rules and risk controls
- Payment fraud and chargeback management
- Data analysis using Excel and SQL
- Fraud reporting and dashboard creation
- Knowledge of AML/KYC principles.
Similar Jobs
.png)
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Build and tune fraud detections across accounts, authentication, payments, and other high-risk flows. Lead threat hunts, identify emerging abuse patterns, improve fraud telemetry, and convert findings into automated, tested detections. Develop tools, dashboards, and enrichment for fraud operations; measure precision, recall, coverage, and detection speed; and collaborate with security, engineering, risk, product, and operations teams to address systemic fraud risks.
Top Skills:
Batch Data ProcessingData LakehouseData WarehouseMachine LearningSIEMSQLStatistical DetectionStreaming Data ProcessingVersion Control
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Leads fraud analytics strategy for digital payments, defining risk frameworks, fraud metrics, and analytical models. Partners with Product, Engineering, and Risk Operations to turn insights into scalable fraud mitigation solutions. Manages external data sources, defines requirements for production data pipelines, and establishes best practices for risk measurement and modeling. Serves as a senior thought leader influencing cross-functional stakeholders and executive decision-makers.
Top Skills:
PythonSQL
Financial Services
Supports BaaS fraud risk oversight by monitoring fraud events, conducting low- and medium-risk reviews, identifying policy gaps, tracking investigations, and escalating concerns. Analyzes trends, prepares management reports and recommendations, advises FinTech partners, maintains audit-ready GRC records and fraud procedures, and supports AI and automation initiatives. Requires knowledge of banking regulations, fraud analysis, GRC platforms, and effective communication with internal teams and partners.
Top Skills:
AIAutomationBanking-As-A-Service (Baas)FintechGrc Platforms
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
