A financial services provider is seeking a Portfolio Risk Manager for a hybrid role in Taguig. The ideal candidate will manage credit risk and implement monitoring frameworks, leveraging over 5 years of experience in credit risk management. Candidates must possess advanced SQL skills and be adept at quantitative analysis and risk modeling. This position requires strong problem-solving abilities and effective communication to work with various teams. Join us in enhancing our portfolio performance while embracing a flexible work environment.
Qualifications
5+ years of experience in credit risk management within financial services.
Advanced SQL proficiency.
Strong quantitative and analytical skills.
Responsibilities
Develop and implement risk monitoring frameworks and KPIs.
Monitor credit risk metrics on loan portfolios and recommend mitigation strategies.
Conduct data-driven analysis for actionable insights.
Skills
Credit risk management
SQL
Quantitative analysis
Statistical analysis
Risk modeling
Creative problem solving
Effective communication
Job description
About the job Portfolio Risk Manager (Hybrid Setup)
Work Set-up: Hybrid setup in Taguig(2x WFH / 3x Onsite)
Requirements:
5+ years of experience working in credit risk management in a financial services environment for the relevant products
Advanced proficiency in SQL
Strong quantitative and analytical skills, with proficiency in statistical analysis and risk modeling
Creative problem solver with flexibility to accommodate business needs
Ability to contribute consistently and positively in a fast-paced environment
Effectively conveying information and insights to diverse audiences
Responsibilities:
Develop and implement portfolio risk monitoring frameworks, KPIs, and reporting standards
Monitor the credit risk metric on the loan portfolio, identifying potential risks and recommending mitigation strategies
Conduct data-driven analysis to generate actionable insights, making recommendations for improving portfolio performance
Oversee the implementation of credit risk models and methodologies, ensure the models have robust performance and aligned with company's standard
Work closely with related teams such as Collections, Product, and Data Science to drive cohesive risk strategies and initiatives
Ensure the collection, analysis, and interpretation of comprehensive risk data to support informed decision-making