About Our Client
Help expand access to banking for underserved Filipinos.
Build fintech solutions that drive digital transformation.
Job Description
- Analyze large-scale structured and unstructured data to identify trends, risks, and opportunities in retail banking portfolios.
- Develop and maintain dashboards and reports using BI tools (Tableau, Qlik Sense, Excel) to support risk analysis and business decisions.
- Build and optimize data pipelines using SQL and ETL technologies to ensure data accuracy and reliability.
- Apply statistical and analytical tools (Python, R, SPSS, SAS) to support risk modeling, forecasting, and segmentation.
- Collaborate with cross-functional teams to translate business and regulatory requirements into actionable analytics.
- Contribute to the development of risk models and stress testing frameworks aligned with regulatory standards.
The Successful Applicant
A successful Risk Data Scientist should have :
Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Mathematics, or a related fieldAt least 3+ years of experience in data science with hands-on exposure to risk modelingStrong proficiency in Python and object-oriented programming (OOP) conceptsSolid understanding of statistical methods, classical machine learning algorithms, and data visualization techniquesExperience with Git for version control and collaborative developmentFamiliarity with risk scoring models, credit risk analytics, or predictive modeling in financial servicesNice to have :
Design thinking and problem-solving mindsetExperience with SQL, Spark, and DockerUnderstanding of banking products, financial markets, and regulatory frameworksAbility to lead small teams or projects and communicate insights to stakeholdersWhat's on Offer
Opportunity to work in the financial services industry with exposure to cutting-edge technologies.Comprehensive benefits package and a supportive work environment.Potential for career growth and professional development.Flexible working arrangements and a focus on work-life balance.Apply today to take the next step in your career as a Risk Data Scientist!
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