FinTech BI Analyst: Lending Insights & Risk Analytics

PALMPAY LIMITED; Philippines; Remote; PHP 600,000 - 900,000; Full time

Job summary

PALMPAY LIMITED seeks a data-driven BI Analyst to support a fintech lending platform. You will generate insights on loan performance, customer behavior, risk trends, and collections efficiency, partnering with Risk, Credit, Sales, and Operations to drive portfolio quality and growth.

Ideal candidates will have strong SQL, BI tool proficiency (Power BI/Tableau), and experience with lending metrics, fraud monitoring, and data visualization in a fast-paced environment.

Qualifications

• Bachelor’s Degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, Finance, or related field is required.
• Minimum 2–5 years of BI/Data Analytics/Risk Analytics experience in fintech/digital lending preferred.
• Strong SQL skills are mandatory and essential for data extraction.

Responsibilities

• Analyze end-to-end lending funnel including applications, approvals, disbursements, repayments, delinquency, and collections performance.
• Develop and maintain automated dashboards in BI tools (Power BI/Tableau) for Credit Risk, Collections, and Operational KPIs.
• Perform risk, collections, fraud, and portfolio analytics; provide actionable insights to improve portfolio quality and efficiency.
• Collaborate with Risk, Credit, Sales, Operations, Product, and Tech teams; translate data into management-ready insights.
• Support ad hoc analyses and business cases for new initiatives and process improvements.

Skills

SQL

Excel

Data analysis

Analytics

Presentation skills

Stakeholder management

Problem solving

Education

Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, Finance, or related field

Tools

Power BI

Tableau

Google Data Studio

Python

R

Job description

PALMPAY LIMITED seeks a data-driven BI Analyst to support a fintech lending platform. You will generate insights on loan performance, customer behavior, risk trends, and collections efficiency, partnering with Risk, Credit, Sales, and Operations to drive portfolio quality and growth.

Ideal candidates will have strong SQL, BI tool proficiency (Power BI/Tableau), and experience with lending metrics, fraud monitoring, and data visualization in a fast-paced environment.