Data Scientist - Predictive Modeling & Risk Analytics

Bank of the Philippine Islands (BPI); Makati; Presencial; PHP 900.000 - 1.900.000; Tempo integral

Resumo da vaga

Bank of the Philippine Islands (BPI) seeks a Data Scientist to develop and validate predictive models and scorecards across Mass Retail. You will transform data into insights, support growth, risk management, and decision-making, while collaborating with cross-functional teams.

The role emphasizes model deployment, governance, and ongoing performance monitoring, with leadership potential and strong communication skills expected.

Qualificações

• Bachelor's degree in a quantitative field; master's preferred.
• 3+ years in data science, risk modeling, or related consumer lending.
• Strong knowledge of data modeling, analytics, and insights.
• Experience with credit, risk, fraud analytics is a plus.
• Proficient in Python, SAS, VBA, Tableau; Excel/PowerPoint skills required.

Responsabilidades

• Develop credit scorecards and predictive models for growth and risk.
• Analyze large datasets using EDA to ensure data quality.
• Design and validate ML models using internal/external data.
• Assess methodologies and document model development.
• Monitor performance and propose enhancements or retirement.
• Lead deployment with testing, validation, and user acceptance.
• Collaborate with risk, operations, technology and business units.
• Present findings and recommendations to stakeholders.
• Provide guidance to Data Analysts and support analytics programs.

Conhecimentos

Data analytics

Communication

Stakeholder management

Project management

Critical thinking

Formação

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Engineering, or related field

Master's degree preferred

Ferramentas

Python

SAS

VBA

Tableau

Excel

PowerPoint

Descrição da vaga

Bank of the Philippine Islands (BPI) seeks a Data Scientist to develop and validate predictive models and scorecards across Mass Retail. You will transform data into insights, support growth, risk management, and decision-making, while collaborating with cross-functional teams.

The role emphasizes model deployment, governance, and ongoing performance monitoring, with leadership potential and strong communication skills expected.