Sr. Specialist Fraud

Delivery Hero; Dubai; On-site; AED 279,000 - 446,400; Full time

Job summary

Delivery Hero is seeking a Senior Analyst Fraud Operations to safeguard our ecosystem. You will monitor fraud KPIs, identify anomalies, and use data-driven insights to strengthen prevention systems across platforms.

Working cross-functionally with Data, Product, Operations and Finance, you will influence risk assessments, launch support for new products, and drive scalable fraud controls that protect customers and enable smooth transactions.

Qualifications

• 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.
• Ability to thrive in a fast-paced complex environment balancing multiple priorities effectively.

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.

Skills

SQL

BigQuery

Python

Education

Bachelor's degree in Economics Statistics Mathematics Industrial Engineering or related field

Job description

As the Senior Analyst Fraud Operations you'll play a key role in safeguarding the companys ecosystem from fraud. Youll 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 youll 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.

WHATS ON YOUR PLATE

Fraud Monitoring & Analysis:

• 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.

Fraud Prevention & System Optimization:

• 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.

Governance KPIs & Performance Management:

• 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.

Cross-functional Collaboration & Stakeholder Management:

• 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.

WHAT DID WE ORDER

Qualifications & Experience:

• 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.
• Bachelors 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.

Remote Work

No

Employment Type

Full-time