Head of Modeling and Model Validation Center- Ha Noi

Job description

1. Strategic Leadership & Governance:

• Define and execute VPBank's modeling, model validation and risk analytics strategy in alignment with the Bank's strategic priorities, AI-enabled risk transformation agenda and Basel roadmap.

• Establish and maintain the Group Model Risk Management Framework and enterprise-wide model lifecycle governance, including model inventory, model risk classification, model risk assessment, tiering, approval, implementation, monitoring, change control, retirement and consolidated model risk reporting.

• Represent RMD in model governance committees and engagements with SBV, auditors and other relevant stakeholders.

• Ensure alignment of modeling, validation and risk analytics capabilities across VPBank and subsidiaries, with clear ownership and accountability.

2. Oversight of Model Development Department:

• Provide strategic direction for the development, enhancement, implementation and monitoring of risk, regulatory and business models across VPBank Group.

• Oversee credit risk models, including application, behavioral, collection, attrition, cross-sell, propensity and early-warning models; Basel II/III/IV, IFRS 9, stress testing, capital and portfolio analytics models; and advanced AI/ML, fraud analytics and alternative-data models.

• Establish modern development methodologies, coding and documentation standards, reusable assets and common feature libraries.

• Drive industrialized model development and deployment through MLOps, automated pipelines, CI/CD, controlled retraining and performance monitoring, in coordination with Business, IT and EDA.

3. Oversight of Model Validation Department

• Ensure independent, risk-based and timely validation of all material models across VPBank Group in accordance with the Model Validation Framework.

• Approve the annual validation plan and oversee validation of credit, market, liquidity, operational, regulatory and business models.

• Establish validation standards for AI/ML models, including explainability, stability, data integrity, bias and fairness where applicable, implementation accuracy and ongoing monitoring.

• Ensure effective challenge of model methodology, assumptions, data, implementation and performance; track findings and remediation to closure; and provide enterprise-wide reporting on model inventory, model risk classification, risk assessments, lifecycle status and material model-risk exposures.

• Embed model-risk controls into MLOps, including end-to-end lineage, versioning, dev-to-production consistency, tiered change control, retraining guardrails and continuous evidence for audit and review.

Job Requirements

1. Educational Qualifications:

• Master's degree or higher in Statistics, Mathematics, Quantitative Finance, Economics, Data Science, Computer Science or a related discipline.

• Professional certification such as FRM, CFA, PRM, PMP or an equivalent qualification is preferred.

2. Relevant Knowledge/ Expertise:

• Deep expertise in credit risk modeling, independent validation and model risk management.

• Strong knowledge of Basel II/III, IRB, IFRS 9, stress testing, capital adequacy and portfolio analytics.

• Strong understanding of AI/ML governance, explainability, model monitoring, risk data architecture and MLOps.

• Knowledge of advanced analytics applications in early warning, fraud, collections and credit decisioning; familiarity with modern analytics platforms and alternative data.

3. Skills:

• Strong strategic leadership, stakeholder management and influencing skills.

• Advanced quantitative, analytical, problem-solving and executive communication skills.

• Working knowledge of SAS, SQL, Python or R, modern data platforms, model deployment and system integration.

4. Relevant Experience:

• At least 12 years of relevant experience in banking risk management, analytics, model development or model validation, including at least 5 years in a senior leadership role.

• Proven experience leading large-scale risk analytics, model risk or data/technology transformation programs.

• Demonstrated experience engaging regulators, auditors, executive management and cross-functional stakeholders.

5. Required Competencies:

• Strategic thinking and vision alignment.

• Leadership, talent development and succession building.

• Analytical rigor, sound judgment and decision-making.

• Independence, integrity and professional ethics.

• Innovation mindset, collaboration and continuous improvement orientation.

Benefits

• Competitive salary and bonus package

• Staff loan with special interest rates

• Training courses based on the job, Training framework/Learning RoadMap for each position

• Insurance in accordance with Labor laws + VPBank Care insurance for all employees. (insurance covered for family members for entitled employees);

• Annual leave (varied based on job grade)

• Travel allowance

• A dynamic and friendly working environment, full of great opportunities to develop your career and abundant interesting activities to join (Sports competitions, talent contests, teambuilding…)

• Working time: from Monday to Friday & 2 Saturday mornings/month.