Payments Lifecycle Analyst — Automation & Risk Ops

JP Morgan Chase; Manila; On-site; PHP 446,000 - 893,000; Full time

Job summary

JP Morgan Chase in Manila is seeking a Payment Lifecycle Analyst to support Payments Operations. You will analyze exceptions, improve processes, and help ensure accurate and timely movement of funds across payment workflows.

You will collaborate with partners to resolve non-routine issues, identify root causes, and apply data-driven insights and risk awareness to deliver consistent operational outcomes.

Qualifications

• Advanced knowledge of payment processing operations and end-to-end lifecycle controls.
• Understanding of systems architecture concepts and automation to boost efficiency.
• Proficiency in data analysis and translating findings into actionable insights.
• Strong written and verbal communication for cross-team collaboration.
• Awareness of cybersecurity and anti-fraud practices in operations.
• Experience applying continuous improvement methods to reduce risk and improve quality.

Responsibilities

• Investigate payment exceptions, identify root causes, and apply procedures to resolve timely.
• Analyze data to support accurate processing and settlement across payment workflows.
• Document processes, requirements, and performance measures for continuous improvement.
• Collaborate with stakeholders to support process optimization initiatives, including automation.
• Apply operational risk awareness and anti-fraud practices aligned to responsibilities.
• Coach teammates and act as escalation point when needed.

Skills

Payment processing knowledge

Systems architecture concepts

Data analysis

Communication skills

Cybersecurity & anti-fraud

Continuous improvement

Job description

JP Morgan Chase in Manila is seeking a Payment Lifecycle Analyst to support Payments Operations. You will analyze exceptions, improve processes, and help ensure accurate and timely movement of funds across payment workflows.

You will collaborate with partners to resolve non-routine issues, identify root causes, and apply data-driven insights and risk awareness to deliver consistent operational outcomes.