Data Governance Analyst - Fintech
Data Governance Analyst - Fintech
Michael Page- Posted 3 days ago
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Job Description
- Career growth in a disruptive fintech company
- Competitive benefits and hybrid work set-up
Fintech startup present nationwide
Job Description
- Own and continuously enhance enterprise governance frameworks covering data, analytics, and AI/ML models, including policies, standards, controls, and decision rights.
- Assess current-state processes across the analytics and model lifecycle; identify process gaps, control weaknesses, inefficiencies, and compliance risks.
- Design, document, and implement future-state processes that are scalable, compliant, and business-enabling.
- Define, maintain, and operationalize the Model Governance Framework, including model inventory, lifecycle standards, approval workflows, and control checkpoints.
- Oversee governance of model validation, performance monitoring, drift detection, and remediation tracking.
- Prepare and maintain complete governance documentation, including policies, procedures, playbooks, risk and gap assessments, audit artifacts, and governance committee packs.
- Ensure alignment with BSP regulatory expectations, internal risk policies, and Philippine data privacy laws (RA 10173).
- Partner with Data Science, Risk, IT, Compliance, and Business teams to embed governance into day-to-day operations and guide stakeholders on governance best practices.
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
- At least 5+ years of experience in governance, process management, model risk, compliance, or control roles, preferably within financial services.
- Strong understanding of analytics and AI/ML model lifecycles and associated risk concepts.
- Proven experience in process assessment, gap analysis, and governance framework design.
- Familiarity with BSP regulatory environments and audit expectations.
- Strong background in the following tools and technologies:
- Analytics & Modeling: Python, R, SQL.
- Model Lifecycle & Monitoring: MLflow or equivalent model lifecycle tools, model performance and drift monitoring solutions, Git-based version control.
- Permanent position in the financial services industry
- Hybrid set-up
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