As the Senior Analyst – Fraud Operations, you’ll play a key role in safeguarding the company's ecosystem from fraud. You’ll monitor fraud KPIs, identify emerging risks, and use data-driven insights to continuously strengthen our fraud prevention systems. Working cross-functionally with Data, Product, Operations, and Finance, you’ll drive scalable solutions that protect our customers and ensure a seamless transaction experience. If you are passionate about customer-centric innovation, fraud prevention, and continuous improvement, this role is for you.
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Location
Dubai, United Arab Emirates
Responsibilities
- Monitor key fraud KPIs daily and identify anomalies through data analysis.
- Identify and investigate trends and conduct root-cause analysis.
- Develop a deep understanding of fraud processes, tools, and behaviors across platforms.
- Translate insights into system improvements by applying changes to automated fraud detection rules.
- Recommend and implement scalable processes that adapt to evolving transaction and fraud patterns.
- Support the launch of new products and payment methods by providing risk assessments and fraud prevention inputs.
- Own fraud-related KPIs — define targets, track progress, and ensure goals are met.
- Define and improve fraud metrics, procedures, and workflows to align with industry best practices.
- Prepare regular reports and insights to inform leadership decisions on fraud trends and mitigation strategies.
- Act as the subject-matter expert for fraud-related topics across internal teams (Finance, Legal, Product, Marketing, Operations).
- Communicate technical requirements clearly to Product Managers and collaborate on feature enhancements.
- Engage with external partners (acquirers, anti-fraud providers) to benchmark, test, and evolve fraud prevention approaches.
Requirements
- 4-5 years experience in fraud prevention or fraud operations within high-transaction environments (e-commerce, fintech, or similar).
- Strong analytical skills; ability to process and interpret data from multiple sources and convert insights into actions.
- Proficiency in SQL or BigQuery required; familiarity with Python or scripting languages is a plus.
- Demonstrated success in managing KPIs and achieving OKRs.
- Strong communication and stakeholder management skills with the ability to collaborate globally.
- Bachelor’s degree in Economics, Statistics, Mathematics, Industrial Engineering, or a related field (advanced degree preferred).
- Ability to thrive in a fast-paced, complex environment, balancing multiple priorities effectively.
