Senior Specialist - Rider Integrity and Fraud
Talabat
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Job summary
talabat in Dubai, United Arab Emirates, is seeking a Senior Specialist - Rider Integrity and Fraud to lead detection and enforcement across multiple markets. The role combines analytics with policy execution, threshold tuning, and operational risk reduction to protect the rider marketplace’s fairness and reliability.
Ideal candidates will have 4–6 years in Trust and Safety or related fields, strong SQL and Python skills, and experience in multi-market delivery platforms.
Qualifications
- 4-6 years of experience in Trust and Safety, Fraud and Risk, Marketplace Operations Analytics, or similar environments.
- Strong SQL capability; BigQuery experience is a plus.
- Fluent English with excellent written and spoken communication.
- Experience in technology-enabled marketplaces and multi-market operations.
Responsibilities
- Own a portfolio of priority rider fraud and misconduct behaviors across the regional marketplace.
- Define measurable indicators and baseline prevalence across countries and rider cohorts.
- Conduct root-cause analysis to determine why misconduct occurs and contributing factors.
- Identify and prioritize interventions to reduce fraud, abuse, or misconduct.
- Design detection rules that convert risks into measurable signals.
- Define and tune enforcement thresholds based on performance evidence.
- Manage country-by-country rollout of detection and enforcement rules across regions.
- Run periodic enforcement cycles and monitor effectiveness after implementation.
- Track repeat and high-severity offenders and monitor risks.
- Review false positives to ensure fair enforcement.
- Recalibrate detection rules when performance indicates adjustments are needed.
- Document end-to-end workflows and enforcement logic.
Skills
Education
Job description
Job Snapshot: Role: Senior Specialist - Rider Integrity and Fraud; Location: Dubai, United Arab Emirates; Industry: Internet; Function: Fraud Investigation; Experience: 4-6 years; Job Type: Full-time.
Position Overview: Senior Specialist - Rider Integrity and Fraud in Dubai, United Arab Emirates is an Internet industry opportunity with talabat focused on rider fraud detection, marketplace integrity, misconduct prevention, enforcement strategy, and operational risk reduction across multiple Middle East markets. The role owns high-impact integrity behaviors end-to-end, translating risk signals into detection rules, enforcement thresholds, scalable controls, automation, and measurable improvements in rider marketplace fairness and reliability.
Country: United Arab Emirates City: Dubai Industry: Internet Function: Fraud Investigation Salary: 18000-26000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer. Gender: Any Candidate Nationality: Any Job Type: Full-time.
The Senior Specialist is responsible for protecting talabat 's rider marketplace from fraud, misconduct, abuse, and operational manipulation across eight regional markets. The position combines advanced analytics with policy execution, detection-rule design, enforcement operations, process improvement, and cross-market stakeholder management. Each integrity risk must be measured, understood, and converted into practical controls that reduce abuse without unfairly affecting genuine riders. This requires careful threshold tuning, false-positive analysis, root-cause investigation, and continuous remeasurement after interventions are launched. The role also strengthens the operating infrastructure behind regional integrity management by improving workflows, automating repetitive processes, documenting enforcement logic, maintaining audit-ready evidence, and identifying new behaviors that should be brought under active monitoring.
- Own a portfolio of priority rider fraud and misconduct behaviors across the regional marketplace.
- Define measurable indicators for each integrity behavior and establish baseline prevalence across countries and rider cohorts.
- Conduct root-cause analysis to determine why misconduct occurs and which operational, technical, or behavioral factors contribute to it.
- Identify and prioritize interventions capable of reducing fraud, abuse, or undesirable rider behavior.
- Design detection rules that convert integrity risks into measurable and actionable signals.
- Define and tune enforcement thresholds according to performance evidence and operational impact.
- Manage country-by-country rollout of new detection and enforcement rules across regional markets.
- Run periodic enforcement cycles and monitor their effectiveness after implementation.
- Track repeat and high-severity offenders and maintain visibility of the behaviors generating the greatest integrity risk.
- Review false positives to ensure enforcement mechanisms remain effective without unfairly penalizing legitimate riders.
- Recalibrate detection rules and thresholds when performance data indicates that controls require adjustment.
- Monitor country-level integrity performance and recognize differences in operational baselines, abuse patterns, and rule effectiveness.
- Document end-to-end detection and enforcement workflows for every actively managed misconduct category.
- Identify broken handoffs, duplication, process gaps, and weak controls within integrity operations.
- Recommend practical improvements to strengthen the reliability and efficiency of the detection and enforcement system.
- Maintain operational trackers and the core workflow infrastructure supporting regional integrity management.
- Automate repetitive processes and improve the consistency of data collection, monitoring, and enforcement workflows.
- Surface emerging rider misconduct patterns from broader risk signals and operational data.
- Build business cases for adding new misconduct behaviors to the team 's active integrity portfolio.
- Quantify expected impact, operational effort, and potential risk reduction before recommending new controls.
- Contribute portfolio results to regional integrity KPIs and executive reporting.
- Prepare concise performance updates that explain trends, interventions, risks, and measured outcomes.
- Maintain audit-ready documentation covering detection logic, thresholds, enforcement decisions, false-positive handling, and decision trails.
- Support internal governance and public-company compliance requirements through accurate documentation and traceable controls.
- Partner with Product teams to improve integrity tooling, detection capabilities, and automated enforcement mechanisms.
- Collaborate with Operations teams to ensure rules can be implemented effectively within real-world rider processes.
- Work with Customer Experience teams where enforcement or misconduct issues affect customer outcomes.
- Coordinate with country leadership on local rollouts, operational constraints, and performance improvement actions.
- Participate in regular integrity operating reviews, weekly performance cadences, and quarterly business reviews.
- Balance fraud capture rates against the risk of incorrectly flagging genuine riders.
- Influence stakeholders across different markets and functions to align around integrity priorities and enforcement standards.
Candidates should bring approximately 4-6 years of experience in Trust and Safety, Fraud and Risk, Marketplace Operations, Logistics Operations Analytics, or a closely related environment. Experience within technology-enabled marketplaces, gig-economy businesses, delivery platforms, or multi-market operations is particularly valuable. A Bachelor 's Degree in Engineering, Business, Economics, or another relevant discipline is preferred, although equivalent practical experience may also be considered. Applicants should demonstrate a track record in at least one area such as behavioral fraud detection, rule-based fraud controls, gig-economy fleet operations, marketplace abuse prevention, or large-scale anti-abuse programs. Strong SQL capability is required, with BigQuery experience considered particularly useful. Candidates should be comfortable creating dashboards and using lightweight Python to automate analytical or operational workflows. The position requires strong analytical depth, including the ability to move logically from anomaly detection through root-cause analysis, intervention design, business case development, implementation, and impact measurement. A process-mapping mindset is important because the role requires detailed analysis of operational workflows and the ability to identify where controls, handoffs, or procedures are failing. Candidates should understand threshold tuning and the practical trade-off between detecting abuse aggressively and avoiding inappropriate enforcement against legitimate users. Strong stakeholder-management skills are required for collaboration with Product, Operations, Customer Experience, and country leadership across markets with different operating environments. Hands-on familiarity with generative AI tools such as Claude and Claude Code is expected. Excellent written and spoken English is essential, together with strong organisation, disciplined follow-up, ethical judgement, and the ability to manage a large stakeholder workload.
- SQL
- BigQuery
- Python
- Fraud detection
- Behavioral fraud analysis
- Rider fraud prevention
- Marketplace integrity
- Trust and Safety
- Anti-abuse programs
- Detection rule design
- Enforcement thresholds
- Threshold tuning
- False-positive analysis
- Root-cause analysis
- Anomaly detection
- Fraud monitoring
- Risk analytics
- Marketplace operations
- Logistics operations analytics
- Gig-economy operations
- Integrity KPIs
- Dashboard development
- Workflow automation
- Process mapping
- Enforcement operations
- Misconduct monitoring
- Cross-market rollout
- Audit documentation
- Decision trails
- Governance controls
- Compliance documentation
- Operational risk analysis
- Stakeholder management
- Product collaboration
- Operations collaboration
- Customer Experience coordination
- Executive reporting
- Business case development
- Performance measurement
- Claude
- Claude Code
- Generative AI tools
Marketplace integrity has a direct impact on delivery reliability, customer experience, rider fairness, and operational economics. This position offers the opportunity to work on complex fraud and misconduct problems at regional scale rather than focusing on isolated investigations or individual cases. The role combines analytics, fraud strategy, operations, automation, Product collaboration, governance, and multi-market execution, creating strong development potential toward senior Trust and Safety, marketplace risk, fraud strategy, operational analytics, or integrity leadership positions.
talabat is a technology-driven local delivery platform and part of Delivery Hero Group. Its operations connect customers with restaurants, grocery providers, riders, and local commerce services across multiple Middle East markets. The company uses technology, data, marketplace operations, and regional scale to improve delivery reliability, customer experience, rider performance, and platform integrity.
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