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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
Trust & Safety Product StrategyFraud Detection SystemsRisk ScoringData Signals IntelligenceAnomaly DetectionAI-Native Product DevelopmentSuccess Metrics DefinitionScalable System BuildingCompliance TechnologyUser Trust Metrics
Soft Skills
Analytical MindsetInfluencing Senior StakeholdersComfort in AmbiguityComplex Problem SolvingCommunication Skills
Tools & Technologies
Machine Learning ModelsReal-Time Detection SystemsInvestigation ToolingMonitoring CapabilitiesData Science Products
Industry Keywords
Digital MarketplacesE-CommerceFintechConsumer TrustRegulatory ComplianceMarketplace IntegrityAccount SecurityPayments RiskAbuse PreventionSynthetic User Research
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 protect legitimate user experience
- 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 to senior leadership in business terms
- Partner with Engineering, Data Science, Legal, Compliance, and Operations
- Build instrumentation, monitoring, and evaluation capabilities for fraud rates, model performance, and user/contributor impact
- Establish business cases quantifying fraud losses and ROI of prevention investments
- 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
- Comfortable operating in ambiguity, owning complex problem spaces, influencing senior stakeholders, and driving 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 (nice to have)
- Familiarity with emerging regulations and industry trends affecting online platforms, digital marketplaces, payments, AI, and consumer trust (nice to have)
Benefits
Comp & perks- Diversity, Equity and Inclusion at OLX
- OLX welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences
- Opportunity to be considered for other OLX opportunities
- Optional consent to store application data for up to 12 months for consideration in future OLX roles