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Financial Integrity Data Science Manager

Company:
Meta
Location:
Tel Aviv, Tel Aviv District, Israel
Posted:
June 09, 2025
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Description:

The Financial Integrity team leads payments risk and compliance management across Meta.

Our mission is to ensure a secure and seamless payment experience across all of Meta’s payments products and services, including: Ads billing, WhatsApp and Messenger P2P, Games, Shops, and more.

We mitigate on-going payments fraud threats through advanced ML models, optimizing effective and healthy growth and directly impacting Meta's revenue.

We are looking for an experienced manager to lead the FI DS team in TLV, and drive measurements strategy and direction for payments risk and compliance.

Responsibilities:

Financial Integrity Data Science Manager Responsibilities:

Strategic Leadership: Lead the Compliance Risk measurements space, collaborating cross-meta teams to develop and execute strategies that mitigate regulatory risks and payments fraud.

Collaboration and Alignment: Work closely with CI&S and Monetization leadership to ensure alignment on topline metrics, measurements methodologies, and reporting frameworks for financial loss from payments fraud.

Communication and Reporting: Provide on-going updates to CI&S and Monetization leads on progress and challenges.

Stakeholder Engagement: Engage with key stakeholders, including product and data science leads, to ensure a unified approach to fraud mitigation.

Qualification and experience:

Minimum Qualifications:

Proven experience in managing complex analytical projects across multiple teams.

Proven communication and collaboration skills, with demonstrated experience in working effectively with cross-functional teams.

Strategic thinker with a track record of developing and implementing successful fraud mitigation strategies.

Preferred:

Preferred Qualifications:

Understanding of payment systems, fraud detection, and prevention strategies.

Experience in risk analytics and measurements in an adversarial space (for example, fraud detection, cyber-security, etc.)

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