FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Trust & Safety product management, focusing on fraud prevention, risk mitigation, and user experience optimization. Proficient in leveraging AI and machine learning for real-time detection and decision-making in high-scale digital environments.
Highest-signal resume keywords
Product Management ExperienceFraud Prevention ExpertiseMachine Learning ApplicationData-Driven Decision MakingCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Fraud DetectionRisk MitigationData AnalysisMachine LearningAI IntegrationProduct StrategyMetrics DefinitionScalable Systems DevelopmentCompliance TechnologyUser Trust Metrics
Soft Skills
Analytical MindsetInfluencing StakeholdersProblem SolvingCommunication SkillsOperational Efficiency
Tools & Technologies
Risk EngineAnomaly Detection ToolsDecisioning SystemsMonitoring CapabilitiesEvaluation Tools
Industry Keywords
Trust & SafetyMarketplace IntegrityDigital MarketplacesE-CommerceFintechRegulatory ComplianceConsumer TrustHigh-Risk EnvironmentsVendor ManagementInternational Markets
About the role
Key responsibilities & impact- Own the Trust & Safety product strategy and roadmap
- Translate business risk and user insight into a clear, prioritized plan
- Shift from reactive incident response to proactive, intelligence-driven fraud prevention
- Build the Risk Engine, data signals intelligence, anomaly detection, and investigation tooling
- Ship AI-native Trust & Safety product experiences using ML models, LLMs, and behavioral signals
- Partner with Data Science and Engineering to design, prototype, and productionize real-time detection and decisioning systems
- Balance fraud mitigation with marketplace growth and minimize friction for legitimate users
- Define and track Trust & Safety metrics including fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure
- Communicate impact in business terms to senior leadership
- Partner with Engineering, Data Science, Legal, Compliance, and Operations
- Build instrumentation, monitoring, and evaluation capabilities for fraud rates, model performance, and contributor/user impact
- Establish business cases quantifying fraud losses and prevention ROI
- Secure resources and drive data-grounded prioritization
- Ensure products and strategies meet local and regional compliance, legal, and security requirements
- Apply AI to threat analysis, synthetic user research, specification writing, and experimentation pipelines
- Represent Trust & Safety at leadership level and present strategy, risk posture, and results to executive audiences
Requirements
What you’ll need- Significant product management experience in the digital sector, including consumer-facing platforms, marketplaces, mobility, e-commerce, classifieds, fintech, or similar high-scale environments
- Proven experience owning trust-related products or problem spaces such as Trust & Safety, Fraud Prevention, Risk, Identity & Verification, Marketplace Integrity, Account Security, Abuse Prevention, Payments Risk, or Compliance Technology
- Track record of building scalable systems that proactively detect, prevent, and mitigate abuse, fraud, risk, or other trust-related issues
- Strong analytical and data-driven mindset, including defining success metrics, evaluating impact, and making prioritization decisions based on evidence and measurable outcomes
- Experience partnering with Engineering, Data Science, Operations, Legal, Compliance, and other cross-functional stakeholders in regulated or high-risk environments
- Experience in vendor management and collaboration
- Experience building, deploying, or working closely with machine learning, AI, risk scoring, decisioning, detection, recommendation, or automation systems
- Ability to balance user experience, marketplace growth, operational efficiency, and risk mitigation
- Ability to operate in ambiguity, own complex problem spaces, influence senior stakeholders, and drive strategy and execution across multiple teams
- Strong core product skills transferable across fraud domains
- Well versed in building and iterating core Data (Science) products at scale
- Experience across multiple international markets and regulatory environments is a plus
- Familiarity with emerging regulations and industry trends affecting online platforms, digital marketplaces, payments, AI, and consumer trust is a plus
Benefits
Comp & perks- Diversity, Equity and Inclusion: OLX welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences
- Opportunity to work on AI-native product experiences in a large-scale consumer marketplace
- Collaboration across 50+ nationalities and 7 markets
- Opportunity to work on products used by millions of people
- Opportunity to work with OLX brands including AutoTrader, OLX, Otomoto, and Property24
- Backing by Prosus, a major technology investor