Save Job Back to Search Job Description Summary Similar JobsCompetitive Package and Benefits.Join a leadership team with multinational experience.About Our ClientOne of the leading banks in the Philippines.Job DescriptionStrategic LeadershipDefine and execute the enterprise-wide data science roadmap, aligned with the bank's Data & AI strategy.Drive AI/ML innovation in areas such as credit scoring, fraud analytics, marketing personalization, risk modeling, and operational optimization.Champion a data-driven culture across the bank, partnering with senior executives to identify analytics opportunities.Team & Capability BuildingLead, mentor, and grow a multidisciplinary team of data scientists, ML engineers, and quantitative analysts.Establish best practices in model development, feature engineering, experimentation, and model deployment.Foster continuous learning and adoption of emerging technologies (LLMs, generative AI, real-time models, MLOps).Model Development & DeliveryOversee development, validation, deployment, and monitoring of high-impact ML models.Ensure models meet regulatory requirements (BSP guidelines), risk controls, and explainability standards.Collaborate with Data Engineering and MLOps teams to operationalize models efficiently and reliably.The Successful ApplicantEducation & ExperienceBachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.10+ years of experience in data science, analytics, or quantitative roles, with at least 5 years in leadership positions.Proven experience in banking, fintech, or financial services is highly preferred.Technical ExpertiseStrong proficiency in machine learning, statistical modeling, predictive analytics, and optimization.Expertise in Python, SQL, big data environments (Spark, Hadoop), and ML platforms (SageMaker, Databricks, Vertex AI, etc.).Experience with modern MLOps tools and practices.Familiarity with Generative AI, LLMs, and advanced NLP frameworks is a plus.What's on OfferA competitive salary and benefits packageA comprehensive healthcare packageA flexible and hybrid work arrangementA fixed morning shiftContactBianca CruzabraQuote job refJN-012026-6931434Phone number+63 2 7795 2839Job summaryFunctionITSub SectorIT Data AnalysisWhat is your area of specialisation?Financial ServicesLocationMakatiJob TypePermanentConsultant nameBianca CruzabraConsultant contact+63 2 7795 2839Job ReferenceJN-012026-6931434