Senior Risk Analytics Lead & ML Modeling

City Savings Bank; Pasig; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

City Savings Bank is seeking a Risk Analytics Head to lead advanced analytics and modeling initiatives across risk areas. You will develop and enhance score models, implement ML/AI approaches, and work with the technology team to establish ML Ops pipelines and automated monitoring of models.

Responsibilities include developing risk measurement methods, building scoring models, and delivering insights that inform risk-based decisions.

Qualifications

• 5-8 years total working experience in the business analytics or risk analytics domain.
• Experience with scorecards and risk modeling across credit, market, and operational risks.

Responsibilities

• Develops, validates, and enhances risk measurement methods across risk types.
• Build, validate, and deploy scoring models and related policies.
• Design econometric and statistical models for projections, classification, clustering, and simulations.
• Establish ML Ops pipelines for rapid rollout and automated monitoring.
• Collaborate with CRO to present insights to stakeholders.
• Automate data extraction and preprocessing; document methodologies.
• Provide actionable insights to improve risk-based decisions.

Skills

Advanced analytics

Statistical modeling

AI/ML techniques

Risk analytics

Data mining

Communication with CRO

Education

Bachelor's degree in Statistics, Mathematics, or related field

Tools

Python

R

SQL

ML Ops

Job description

City Savings Bank is seeking a Risk Analytics Head to lead advanced analytics and modeling initiatives across risk areas. You will develop and enhance score models, implement ML/AI approaches, and work with the technology team to establish ML Ops pipelines and automated monitoring of models.

Responsibilities include developing risk measurement methods, building scoring models, and delivering insights that inform risk-based decisions.