Portfolio Data Analyst

Maya; Metro Manila; On-site; PHP 600,000 - 900,000; Full time

Job summary

Maya is seeking a Portfolio Risk Analyst to assist in establishing the portfolio management framework and risk appetite for consumer credit products. The role supports monitoring processes, develops decision trees, and helps ensure regulatory compliance.

You will work with data analytics, leveraging Python/R/SQL and Tableau to derive insights, support risk governance, and draft updates to credit policies. A strong foundation in data science and analytics is essential.

Qualifications

• Bachelor's degree in Computer Science/Statistics/Data Science or related programs.
• 3+ years' experience in consumer credit and data analytics.
• Proficient in Python, R, or SQL; familiar with Tableau and big data technologies.

Responsibilities

• Assists the Lead and Portfolio Manager in establishing portfolio management framework and credit risk appetite and thresholds for the product portfolios.
• Assists in developing processes and credit portfolio monitoring.
• Create decision trees which can help portfolio manager in managing risk.
• Assists in drafting and updating appropriate policies to comply with regulation and emerging trends.

Skills

Python

R

SQL

Education

Bachelor's degree in Computer Science/Statistics/Data Science or related programs

Tools

Tableau

Big data

Job description

• Assists the Lead and Portfolio Manager in establishing portfolio management framework and credit risk appetite and thresholds for the product portfolios.
• Assists in developing processes and credit portfolio monitoring
• Create decision trees which can help portfolio manager in managing risk
• Assists in drafting and updating appropriate policies to comply with regulation and emerging trends.

What we are looking for:

• Bachelor's degree in Computer Science/Statistics/Data Science or related programs
• 3+ years' experience in consumer credit and data analytics
• Proficient in programming languages such as Python, R, or SQL.
• Familiarity with data visualization tools (e.g., Tableau) and big data technologies.