Fraud Risk Consulting Manager
- Location
- HK - Hong Kong, China
- Salary range
- Not stated
- Workplace
- Hybrid
- Level
- Manager
- Job family
- Investigations
- Posted
- Recently
The T&S Network estimates this role to be M3, Manager. We don't yet know typical pay for this level in China. Most of our pay data comes from US roles. If you work in Trust & Safety in China, add your pay to help others. Key skills at this level: runs an investigation end to end, from signal to enforcement to writeup, builds and maintains the tradecraft others on the team follow, and works law enforcement and external referral pathways correctly.
Why this level
Estimated from the posting rather than stated by the employer: the title reads as M3 · asks for 7+ years.
The role, in T&S terms
Written by the T&S Network from Visa's posting.
Fraud risk advisory consulting for card issuers, acquirers and merchants in the Hong Kong and Macau market, delivered by Visa Consulting & Analytics' Risk team. The work centers on building data-driven fraud solutions such as authorization optimization and fraud scoring for clients' payment transactions.
What you'd do
- Contribute to Fraud Risk advisory engagements for clients in Hong Kong and Macau.
- Work with internal and external client teams to pin down the business problem and desired outcome.
- Run multiple projects end to end within set timelines, scope and budget.
- Keep project documentation current and deliver work at a high standard of quality.
- Develop fraud risk solutions, including authorization and fraud optimization and fraud risk prediction or scoring.
- Help maintain consulting methodologies, standards and quality control for fraud risk work.
- Support expansion of the Fraud Risk managed service and data modeling.
What it asks for
- 7 years of analytical experience applying statistical solutions to business problems.
- Hands-on experience with one or more analytics or programming tools such as SAS, R, SQL, Python, Hive or Hadoop.
- Working knowledge of techniques such as regression, decision trees, random forests, neural networks and clustering.
- Experience in fraud risk analytics, including model development, scorecards, validation and governance.
- Master's or PhD in a quantitative field, or equivalent experience (preferred).
- Experience in banking or consumer lending (preferred).
- Familiarity with consumer fraud trends across the Asia Pacific region (preferred).
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Visa before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About Visa
Payments network, and the owner of Featurespace.
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