Senior Data Scientist - Fintech Analytics & ML (Hybrid)

East West Banking Corporation; Taguig; Híbrido; PHP 1.200.000 - 2.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Career development

Competitive salary

Performance incentives

Mentorship

Career progression

Descripción de la vacante

East West Banking Corporation in Makati invites an experienced Data Scientist to join our Digital Products and Channels team. The role focuses on developing ML models for fraud detection, credit risk, and customer analytics, while building dashboards for informed decision-making.

You should have 5–6 years in data analytics or ML within fintech or banking, with leadership experience and strong Python/R/SQL skills, plus Tableau/Power BI for financial insights.

Formación

• Bachelor's or Master's degree in CS, Stats, Math, Data Science or related field.
• 5–6 years in data analytics, ML, or data science within fintech/banking, with 1+ year in leadership.
• Strong knowledge of statistical analysis and ML algorithms for business and risk needs.
• Proficiency in Python, R, SQL and data viz tools (Tableau/Power BI) for financial data.

Responsabilidades

• Develop, deploy, and optimize ML models for fraud, credit risk, and customer analytics.
• Analyze large datasets to derive actionable insights for business decisions.
• Collaborate with analysts and cross-functional teams to translate needs into data solutions.
• Design and maintain dashboards and visualizations for stakeholders.
• Monitor and improve model accuracy, efficiency, and robustness.
• Support fraud reduction and operational efficiency through advanced analytics.

Conocimientos

Statistical analysis

Machine learning

Leadership

Data storytelling

Educación

Bachelor's or Master's in CS/Stats/Math/Data Science

Herramientas

Python

R

SQL

Tableau

Power BI

Descripción del empleo

East West Banking Corporation in Makati invites an experienced Data Scientist to join our Digital Products and Channels team. The role focuses on developing ML models for fraud detection, credit risk, and customer analytics, while building dashboards for informed decision-making.

You should have 5–6 years in data analytics or ML within fintech or banking, with leadership experience and strong Python/R/SQL skills, plus Tableau/Power BI for financial insights.