Data Governance Analyst - Fintech

Michael Page

Taguig

Hybrid

PHP 1,500,000 - 2,300,000

Full time

6 days ago
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Benefits offered by this job

Hybrid work setup
Permanent role

Job summary

Michael Page seeks a governance professional to lead enterprise frameworks for data, analytics and AI/ML models in a fintech setting in the Philippines. You will shape policies, controls and decision rights while partnering with Data Science, Risk, IT and Compliance teams.

You will assess processes, close gaps, and design scalable, compliant future-state governance that aligns with local regulations including RA 10173 and BSP expectations.

Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
  • 5+ years of governance, process management, model risk, compliance or control roles, preferably in financial services.
  • Strong understanding of analytics and AI/ML model lifecycles and risk concepts.
  • Experience in process assessment, gap analysis, and governance framework design.
  • Familiarity with BSP regulatory environments and audit expectations.

Responsibilities

  • Own and enhance enterprise governance frameworks covering data, analytics, and AI/ML models, including policies and controls.
  • Assess current-state analytics processes to identify gaps, control weaknesses, and compliance risks.
  • Design and implement scalable, compliant future-state processes.
  • Define and operate the Model Governance Framework with inventories, lifecycle standards and approvals.
  • Oversee model validation governance, monitoring, drift detection, and remediation tracking.
  • Prepare governance documentation, policies, playbooks, risk/gap assessments and audit artifacts.
  • Align governance with BSP expectations and Philippine data privacy laws; partner with Data Science, Risk, IT, Compliance and Business teams.

Skills

Governance
Process management
Model risk
Compliance
Control frameworks
BSP regulations
Data privacy

Education

Bachelor's or Master's in Data Science/CS/Engineering/Statistics

Tools

Python
R
SQL
MLflow
Git

Job description

Job Description:

  • Career growth in a disruptive fintech company
  • Competitive benefits and hybrid work set-up
About Our Client

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.
The Successful Applicant
  • 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.
What's On Offer
  • Permanent position in the financial services industry
  • Hybrid set-up
Quote job ref: JN-092026-7115057

Requirements:

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