Sr. Manager Fraud

Delivery Hero; Dubai; In loco; AED 400.000 - 700.000; Tempo pieno

Descrizione del lavoro

Delivery Hero seeks a senior fraud leader to own end-to-end fraud operations from prevention to response and continuous improvement. You will mentor analysts, drive KPIs, and align regional and global fraud strategies with product and payments teams.

You will collaborate with Data, Finance, Legal and Marketing to translate insights into business actions while embedding fraud prevention into new features from design to launch.

Competenze

• 8 years in fraud operations or analytics in high-volume environments.
• Leadership experience across multiple markets or regions.
• Strong data analysis and fraud detection logic.
• Strategic thinker with scalable fraud frameworks.
• Excellent stakeholder management and presentation skills.
• Cross-functional collaboration with Product/Data/Engineering.

Mansioni

• Own end-to-end fraud operations strategy from prevention to response.
• Lead and mentor a team of Fraud Analysts, guiding development and KPIs.
• Drive alignment with regional and global fraud strategies.
• Define, track and improve KPI for fraud-related risk.
• Review complex cases, identify vulnerabilities, address root causes.
• Partner with Data and Product teams to enhance detection models and automation.
• Serve as senior fraud representative with stakeholders (Product, Finance, Legal, Marketing, Operations).
• Translate fraud insights into business recommendations balancing risk with customer experience.
• Support rollout of new features/payments by embedding fraud prevention from design to launch.
• Establish governance frameworks and ensure compliance standards.

Conoscenze

Fraud operations

Risk management

Analytics

SQL

BigQuery

Stakeholder management

Cross-functional collaboration

Formazione

Bachelor's or Master's degree in Economics, Statistics, Mathematics, Engineering or related quantitative field

Strumenti

SQL

BigQuery

Descrizione del lavoro

WHATS ON YOUR PLATE

Fraud Strategy & Leadership:

• Own the end-to-end fraud operations strategy from prevention and detection to response and continuous improvement.

• Lead and mentor a team of Fraud Analysts setting clear goals guiding development and ensuring delivery against fraud KPIs.

• Drive alignment with regional and global fraud strategies ensuring consistent execution across markets.

Performance Management & Risk Oversight:

• Define track and improve fraud-related KPIs ensuring early detection and timely mitigation of risks.

• Review complex cases and escalation trends identifying systemic vulnerabilities and addressing root causes.

• Partner with Data and Product teams to assess impact design dashboards and enhance automation and accuracy of detection models minimising false positives.

Cross-Functional Collaboration & Governance:

• Serve as the senior fraud representative with key stakeholders Product Finance Legal Marketing and Operations.

• Translate fraud insights into business recommendations that balance risk with customer experience.

• Support the rollout of new features products or payment methods by embedding fraud prevention from design to launch.

• Establish governance frameworks and ensure alignment with compliance audit and security standards.

Innovation & Continuous Improvement:

• Champion process automation and system enhancements that reduce manual intervention and improve fraud detection precision.

• Benchmark against industry best practices and identify opportunities to enhance tools data pipelines and decision models.

• Build predictive capabilities to anticipate emerging fraud trends and strengthen the companys resilience.

WHAT DID WE ORDER

Qualifications & Skill Requirements:

• Experience: 8 years in fraud operations risk management or analytics in a high transaction-volume environment (e-commerce fintech payments).

• Leadership: Proven experience leading and developing analytical or operations teams ideally across multiple markets or regions.

• Analytical Skills: Strong understanding of data analysis and fraud detection logic; proficiency in SQL or BigQuery preferred.

• Strategic Thinking: Demonstrated ability to design and implement scalable fraud prevention frameworks.

• Communication: Excellent stakeholder management and presentation skills; able to simplify complex fraud insights for leadership.

• Collaboration: Experience working cross-functionally with Product Data and Engineering teams.

• Education: Bachelors or Masters degree in Economics Statistics Mathematics Engineering or related quantitative field.

Preferred: Familiarity with fraud detection tools machine learning models or rule-based systems; exposure to payments or chargeback management.

Remote Work:

No

Employment Type:

Full-time