Payment Risk & Fraud Control Specialist (Remote)

ConnectOS; Mandaluyong; Remote; PHP 893,000 - 1,786,000; Full time

Benefits offered by this job

Permanent WFH

Medical, Dental & Life insurance from

Paid Vacation & Sick Leave

Annual appraisal

13th Month Pay

Team events

Career growth opportunities

Job summary

ConnectOS is seeking a highly analytical Risk Control Specialist to identify fraud patterns across card-based payment flows and to design and optimize risk control strategies. You will investigate suspicious activities and work with product, engineering, compliance, banking partners, and card networks to ensure a secure payment ecosystem.

The role requires experience in payment risk, strong data analysis skills, and fluency in Mandarin and English.

Qualifications

• 3-5 years of risk control experience in payment/anti-fraud domains.
• Proficiency in SQL for data extraction and analysis.
• Experience with Python and BI tools (Tableau/Metabase) is a plus.
• Knowledge of card networks rules (Visa VAMP, Mastercard ECP) is a plus.
• Fluent in Mandarin and English (spoken and written).

Responsibilities

• Perform risk analysis and identify patterns in card-based flows to detect fraud.
• Design, deploy, and tune risk control strategies (blacklists/whitelists, rules, scoring).
• Investigate suspicious transactions and develop playbooks for strategy improvements.
• Monitor core metrics like hit rate, false positives, and fraud loss; iterate.
• Collaborate with product, engineering, compliance, banks, and networks to resolve risk issues.

Skills

SQL

Python

BI tools

Risk analysis

Data analysis

Pattern identification

Tools

Tableau

Metabase

Excel

Job description

ConnectOS is seeking a highly analytical Risk Control Specialist to identify fraud patterns across card-based payment flows and to design and optimize risk control strategies. You will investigate suspicious activities and work with product, engineering, compliance, banking partners, and card networks to ensure a secure payment ecosystem.

The role requires experience in payment risk, strong data analysis skills, and fluency in Mandarin and English.