2 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Fraud Analytics Manager (Fintech)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Fraud Analytics Manager (Fintech): Designing and optimizing fraud detection rules and machine learning models for identity theft, account takeover, and payment fraud with an accent on large-scale data analysis, KPI monitoring, and cross-functional implementation. Focus on detecting low-and-slow attacks, leading analytical incident response, integrating fraud prevention tools, and validating documented fraud strategies.
Location: NCR - WGC, Philippines
Company
operates GCash, a fintech platform focused on innovative and convenient financial solutions for the Philippines.
What you will do
- Design, implement, optimize, and prioritize fraud detection rules and machine learning models addressing identity theft, account takeover, and payment fraud.
- Analyze large datasets to identify emerging fraud patterns and low-and-slow attacks that traditional systems may miss.
- Define and monitor KPIs including false positive rates, fraud rates, and operational impact.
- Partner with Product, Engineering, and Customer Support to integrate fraud-prevention friction points into the user journey.
- Manage third-party fraud prevention vendors and internal link-analysis tools.
- Lead analytical deep-dives during major fraud incidents and oversee quality assurance for fraud strategies.
Requirements
- Experience designing and optimizing fraud detection strategies.
- Ability to analyze large datasets and identify complex fraud patterns.
- Experience defining and tracking fraud and operational performance KPIs.
- Ability to lead incident investigations, identify root causes, and patch vulnerabilities.
- Ability to document fraud strategies, including business justification, expected impact, and approvals.
Culture & Benefits
- Career growth and development opportunities.
- Collaborative work with Product, Engineering, and Customer Support.
- Competitive and flexible compensation and benefits package.
- Opportunity to contribute to fintech solutions for the Philippines.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
ΠΠΎΡ ΠΎΠΆΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
2 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Fraud Data Analyst (Fintech)
1 Π΄Π΅Π½Ρ Π½Π°Π·Π°Π΄
Senior Manager (Audit Analytics, Automation & Innovation)
7 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
Data Analyst II (Fraud)
100Β 000 - 125Β 000CAD
2 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Data Analyst - Fraud
21 ΡΠ°Ρ Π½Π°Π·Π°Π΄
Payment Operations & Risk Analyst (Fintech)
1 Π΄Π΅Π½Ρ Π½Π°Π·Π°Π΄