Credit Risk Quantitative Analysis Officer at Metrobank

Taguig, National Capital District, Philippines -

Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Model Development, Risk Assessment, Data Analytics, Regulatory Compliance, Model Governance, Risk Monitoring, Data Quality Assurance, Risk Framework Implementation, Actionable Insights, Analytical Skills, R, Python

Industry

Banking

Description

Be #InGoodHands with Metrobank! Here at Metrobank, we don't simply hire employees—we hone future leaders. We provide opportunities that enhance your skills and unlock your talents, helping you evolve into a well-rounded individual. We supply you with all the pieces you need to do your best work, unleashing your full potential to help you secure your future and lead a fulfilling career. And with Metrobank's strong heart for the community, you have the chance to give back and make worthwhile contributions to our nation's economic and social development. With Metrobank, a meaningful life is within your reach! Position Title: Credit Risk Quantitative Analysis Officer Job Summary: Develop and implement advanced quantitative models and methodologies that effectively assess, quantify and manage risks across the organization. Aim to drive organizational resilience by developing actionable insights from complex data analytics, ensuring compliance with regulatory standards and aligning risk management practices with business objectives to optimize performance and safeguard stakeholder interests. Collaborate with cross-functional teams to provide actionable insights and recommendations that support informed decision-making and risk mitigation strategies, thereby contributing to the overall stability and sustainability of the organization Role Exposure: Quantitative Risk Analysis: Development of quantitative models that accurately assess risks Analyze complex data sets to derive insights that inform risk management strategies. Continuously improve modeling techniques and governance based on industry standards and best practices. Ensure that model development and maintenance adhere to the Model Risk Government Framework of the Bank. Develop and implement effective monitoring and reporting mechanisms, ensuring timely communication of risk metrics and exposures to various risk divisions, Senior Management and BOD Implement data governance and quality assurance processes to ensure the integrity and reliability of data used for risk assessments and modeling Risk Framework Development and Implementation: Establish and maintain a comprehensive risk assessment framework that incorporates advanced analytics and regular updates Establish and maintain an effective model risk management framework to ensure that decisions and regulatory reports based on outputs of models are sound and remain supportive of the Bank’s strategies Regulatory Compliance Management: Ensure all models comply with relevant regulatory requirements and industry standards, with minimal or no compliance-related issues reported during audits Additional Responsibilities: Perform other related duties as assigned to support the overall success of the Division, Risk Management Group and Bank Qualifications: Bachelor’s degree in Mathematics or Statistics. Has experience in insurance companies, particularly in roles within the Actuarial Department, demonstrating a solid understanding of insurance operations Have strong analytical skills with ability to break down problems into doable tasks Must be able to drive actionable insights through data analysis Experience in R or Python is an advantage Other Details: Rank: Junior Officer Unit: Risk Management Group / Enterprise and Quantitative Risk Division / Operational Risk Quantitative Analysis DepartmentLocation: Metrobank Center, BGC, Taguig City

Responsibilities

Develop and implement advanced quantitative models and methodologies to effectively assess, quantify, and manage organizational risks, driving resilience through actionable insights from complex data analytics. Collaborate with cross-functional teams to provide recommendations supporting informed decision-making and risk mitigation strategies.