PalmPay

Risk Data Analyst

Reposted 4 Days Ago

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Taguig City, Metro Manila, National Capital Region, PHL

In-Office

Junior

Fintech • Payments • Financial Services

The Role

Support handset installment financing risk operations by extracting, validating, and maintaining risk datasets; produce regular and ad-hoc reports; monitor key risk indicators and anomalies; develop and maintain dashboards and documentation to support risk, fraud, and collections teams.

Summary Generated by Built In

Job Title: Risk Data Analyst
Location: BGC, Taguig (Full Time, Onsite)
About the Role
We are looking for a Risk Data Analyst to support our handset installment financing business. This
role is primarily execution-focused and will be responsible for risk data extraction, reporting,
dashboard maintenance, and risk metric monitoring.
The ideal candidate should have a strong understanding of business processes and risk metrics, be
comfortable working with large datasets, and be able to independently write SQL queries and
retrieve data to support risk management, fraud prevention, and collections teams.
This role does not require advanced risk modeling or deep strategy development experience.
Key Responsibilities

Extract, validate, and maintain risk-related datasets from various data sources.
Ensure the accuracy, consistency, and completeness of risk data.
Support daily, weekly, and monthly risk reporting requirements.
Understand and maintain key risk metrics across the entire business lifecycle.
Monitor key risk indicators and identify unusual movements or data anomalies.
Develop and maintain risk dashboards and automated reports.
Support management reporting and ad-hoc business requests.
Perform data validation and reconciliation exercises.
Maintain risk data dictionaries, metric definitions, and business documentation.

Requirements

Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Finance, or related
disciplines.
2+ years of experience in Data Analysis, MIS, Business Intelligence, or Risk Analytics.
Experience in Consumer Finance, BNPL, Installment Financing, Digital Lending, Credit Cards, or FinTech is preferred.
Strong SQL skills with the ability to independently write complex queries and retrieve data.
Advanced Excel skills.
Basic Python skills are a plus.
Experience with Tableau, Power BI, Metabase, or similar BI tools is preferred.

Preferred Qualifications

Experience supporting Risk, Fraud, Credit, or Collections teams.
Experience in handset financing, BNPL, or consumer lending businesses.
Experience building automated dashboards and reporting solutions.

What We Are Looking For

Strong attention to detail and data accuracy.
Good business understanding and willingness to learn.
Strong execution and delivery mindset.
Ability to work independently and manage multiple priorities.
Good communication and stakeholder management skills.

Skills Required

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Finance, or related discipline
2+ years of experience in Data Analysis, MIS, Business Intelligence, or Risk Analytics
Strong SQL skills with the ability to independently write complex queries and retrieve data
Advanced Excel skills
Basic Python skills
Experience with Tableau, Power BI, Metabase, or similar BI tools
Experience in Consumer Finance, BNPL, Installment Financing, Digital Lending, Credit Cards, or FinTech
Experience supporting Risk, Fraud, Credit, or Collections teams
Experience building automated dashboards and reporting solutions
Strong attention to detail and data accuracy
Good communication and stakeholder management skills