Senior Anti-Fraud Strategy Engineer

Location: Singapore-CapitaSky
Salary range: Not stated
Workplace: In office
Level: Senior / Staff IC
Job family: Engineering
Posted: Recently

The T&S Network estimates this role to be P3, Senior. We don't yet know typical pay for this level in Singapore. Most of our pay data comes from US roles. If you work in Trust & Safety in Singapore, add your pay to help others. Key skills at this level: owns a detection system end to end, including its drift and its retraining, designs for adversarial pressure rather than for a static distribution, and sets evaluation methodology others in the company adopt.

Learn more about this and similar levels

Why this level

Estimated from the posting rather than stated by the employer: the title reads as P3 · asks for 5+ years.

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The role, in T&S terms

Written by the T&S Network from Tencent's posting.

Builds and iterates end-to-end anti-fraud strategy for Tencent's overseas AdN ad network, covering pre-bid, in-flight and post-event phases against schemes such as IVT and click farms across ad formats. Sits in the Corporate Development Group, which incubates new businesses including fintech and advertising.

Fraud and scams

What you'd do

Develop anti-fraud strategies for overseas AdN spanning pre-bid, in-flight and post-event phases.
Mine ad event data with distributed data platforms and large-scale models to identify risk.
Define and track anti-fraud KPIs and run A/B tests to balance fraud prevention against legitimate traffic growth.
Partner with data science, engineering, product and business staff to push strategies live into real-time risk systems.
Monitor global ad fraud trends and adjust strategies for key overseas markets.
Settle fraud disputes raised by publishers and advertisers, and spread anti-fraud practices across partners.
Make sure anti-fraud work complies with data privacy regulations.

What it asks for

Hold a bachelor's or higher in a quantitative or technical field such as CS, statistics or math.
Bring 3 to 5 years working on fraud, traffic quality or risk in mobile advertising.
Proficiency in SQL and Python, plus familiarity with distributed data platforms.
Know how mobile ad systems work, including attribution, monetization and IAB standards.
Have built anti-fraud strategies and AI-based risk detection yourself.
Fluent English, written and spoken.
Experience with LLM applications (preferred)

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Tencent before you apply. If we got something wrong, report this listing.

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Still listed 14 hours ago