Own and evolve the product vision, strategy, and roadmap for fraud prevention and detection
Define long term platform level safeguards and short term tactical defenses across driver, rider, courier, and platform interactions

Drive Threat Intelligence and Prioritization

Partner with data analysts and risk teams to identify fraud typologies including identity fraud, synthetic users, promo abuse, collusion, and multi accounting
Monitor behavioral signals, risk scores, and new fraud vectors across regions (e.g., LATAM, MENA, CIS)

Design & Deliver Impactful Solutions

Develop and launch machine learning powered detection systems, behavioral anomaly detection, trust signals, and scalable policy engines
Build identity verification and reputation frameworks tailored to markets with limited formal identity systems

Build and Optimize Internal Risk Tools

Improve risk review and case management tools to enhance analyst workflows and decision automation

Enable Cross Functional Risk Execution

Collaborate with Engineering, Data Science, Security, Customer Support, Legal, and Operations to deploy scalable, ethical, and compliant anti fraud defenses
Support real time decisioning infrastructure and contribute to architecture design discussions

Measure, Learn, and Iterate

Own core fraud KPIs: fraud loss rate, detection latency, false positives, customer friction scores
Design experiments and A/B tests to evaluate the impact of interventions on both fraud rates and legitimate user experience

Support Strategic Governance and Compliance

Ensure fraud risk strategies align with regulatory standards, internal risk appetite, and data privacy requirements
Establish playbooks for incident response and policy escalations across global operations

Qualifications

Experience & Domain Expertise

4–7 years of product management experience, preferably in antifraud, trust & safety, payments risk, or related domains;
Prior experience in marketplaces, mobility, e commerce, or fintech is strongly preferred.

Strategic Execution in Ambiguity

Comfortable navigating ambiguity in rapidly changing fraud landscapes.
Demonstrated success in launching 0 to 1 risk products or scaling complex anti abuse systems.

Analytical and Data Driven

Deep comfort working with SQL, dashboards, experimentation platforms, and partnering with data science teams;
Proven ability to make trade offs using data—balancing fraud loss, operational cost, and customer impact.

Technical and System Thinker

Solid understanding of fraud architecture: real time decision engines, ML pipelines, rules systems, and observability;
Familiarity with APIs such as Play Integrity, biometric ID solutions, or device fingerprinting technologies is a plus.

Customer Centric Risk Thinking

Strong intuition for customer experience impacts of risk measures;
Ability to build defenses that are invisible to most users and robust against adversaries.

Clear Communicator and Influencer

Able to drive alignment across global teams with clear written and verbal communication;
Experience in writing PRDs, risk policies, and technical specifications.

Conditions & Benefits

Stable salary, official employment
Health insurance
Hybrid work mode and flexile schedule
Relocation package offered for candidates from other regions
Access to professional counseling services including psychological, financial, and legal support
Discount club membership
Diverse internal training programs
Partially or fully payed additional training courses
All necessary work equipment.