TikTok Shop - Ecommerce Anti-Fraud Data Analytics Manager
Singapore, Singapore
About the team
Ecommerce's Governance and Experience is a global team responsible for ensuring our marketplace is safe and trustworthy for not only users but also sellers and creators. We value user satisfaction and work on policies, rules, and systems to ensure quality. As the Anti-Fraud Data Analytics Manager, you will lead a global team to generate actionable insights, define key metrics that shape fraud management strategies, and evaluate trade-offs between risk mitigation and customer experience.
Roles & Responsibilities:
- Own and drive the antifraud data analytics team’s strategy and OKRs.
- Lead, build, and retain a high-performing team of Data Analysts.
- Mentor and guide the team in solving complex analytical problems related to risk and fraud management.
- Anticipate risks and analyse fraud trends across global markets, developing intelligence systems for mitigation.
- Leverage analytics to optimise fraud strategies, improving precision and increasing detection rates.
- Collaborate and influence stakeholders across business lines, product development, and operations to ensure fraud considerations are integrated.
- Lead large-scale, cross-functional analytic projects, prioritise tasks, and translate business requirements into actionable strategies.
- Define and standardise key performance metrics, building robust reporting models for effective tracking, evaluation, and continuous improvement.
Ecommerce's Governance and Experience is a global team responsible for ensuring our marketplace is safe and trustworthy for not only users but also sellers and creators. We value user satisfaction and work on policies, rules, and systems to ensure quality. As the Anti-Fraud Data Analytics Manager, you will lead a global team to generate actionable insights, define key metrics that shape fraud management strategies, and evaluate trade-offs between risk mitigation and customer experience.
Roles & Responsibilities:
- Own and drive the antifraud data analytics team’s strategy and OKRs.
- Lead, build, and retain a high-performing team of Data Analysts.
- Mentor and guide the team in solving complex analytical problems related to risk and fraud management.
- Anticipate risks and analyse fraud trends across global markets, developing intelligence systems for mitigation.
- Leverage analytics to optimise fraud strategies, improving precision and increasing detection rates.
- Collaborate and influence stakeholders across business lines, product development, and operations to ensure fraud considerations are integrated.
- Lead large-scale, cross-functional analytic projects, prioritise tasks, and translate business requirements into actionable strategies.
- Define and standardise key performance metrics, building robust reporting models for effective tracking, evaluation, and continuous improvement.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Analyst Jobs
Leadership Jobs
Tags: CX Data Analytics E-commerce OKR
Region:
Asia/Pacific
Country:
Singapore
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