Credit Risk Data Scientist: Scorecards & Portfolio Analytics

Paragon Credit Alliance 604 Corporation; Metro Manila; On-site; PHP 420,000 - 650,000; Full time

Job summary

Paragon Credit Alliance 604 Corporation in Metro Manila is seeking a data analytics professional to help build credit risk models, scorecards, and portfolio analytics that drive lending decisions.

The role requires about 2–3 years of experience, strong Python and SQL skills, a solid statistics/machine learning foundation, and the ability to translate analytical findings into business recommendations for risk and growth.

Qualifications

• Bachelors degree in a quantitative field is required.
• 2 years of experience in data analytics, data science, risk analytics, or a similar role.
• Strong Python and SQL skills with data cleaning and feature engineering.
• Solid foundation in statistics and machine learning; experience building and evaluating models.

Responsibilities

• Develop credit risk models, scorecards, and portfolio analytics.
• Clean, prepare, and analyze data using Python and SQL.
• Build and test statistical and machine learning models; validate and monitor them.
• Work with portfolios across customer segments, products, and risk levels.
• Translate analytical findings into practical risk and business recommendations.
• Monitor portfolio health and identify trends affecting risk.

Skills

Python

SQL

Pandas

NumPy

scikit-learn

Statistics

Machine learning

Data analytics

Education

Bachelors degree in quantitative field

Tools

Git

Jupyter

scikit-learn

Job description

Paragon Credit Alliance 604 Corporation in Metro Manila is seeking a data analytics professional to help build credit risk models, scorecards, and portfolio analytics that drive lending decisions.

The role requires about 2–3 years of experience, strong Python and SQL skills, a solid statistics/machine learning foundation, and the ability to translate analytical findings into business recommendations for risk and growth.