job description
Join EastWest Banking Corporation as a Modelling and Risk Analytics Officer and play a pivotal role in shaping data-driven risk management strategies. In this dynamic position, you will leverage advanced analytical techniques to deliver actionable portfolio risk insights, assess delinquency trends, and optimize risk-based collections frameworks. Your expertise will directly influence decision-making processes, ensuring robust financial stability and compliance with regulatory standards.
Based in the vibrant region of Badung, Bali, this role offers a unique opportunity to work in a collaborative, forward-thinking environment while contributing to the bank’s mission of innovation and excellence in financial services. Whether you're analyzing complex datasets, developing predictive models, or presenting strategic recommendations to senior stakeholders, your work will have a measurable impact on the organization’s success.
If you are passionate about transforming raw data into strategic business value and thrive in a fast-paced, analytical setting, we invite you to apply and become a key player in our risk analytics team.
Responsibility
- Develop and maintain predictive models to assess credit, market, and operational risks across the bank’s portfolio.
- Monitor and analyze delinquency trends, identifying root causes and recommending proactive mitigation strategies.
- Design and implement risk-based collections frameworks to optimize recovery rates and minimize losses.
- Collaborate with cross-functional teams to integrate risk insights into business processes and decision-making.
- Prepare comprehensive reports and presentations for senior management, highlighting key risk exposures and actionable recommendations.
- Ensure compliance with local and international regulatory requirements related to risk management and reporting.
- Conduct stress testing and scenario analysis to evaluate the resilience of the bank’s portfolio under various economic conditions.
- Stay abreast of industry trends, emerging risks, and best practices in risk analytics to drive continuous improvement.
Qualifications
- Bachelor’s degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field. Master’s degree or professional certifications (e.g., FRM, PRM, CFA) is a plus.
- Minimum 3-5 years of experience in risk modelling, credit analytics, or a similar role within the banking or financial services sector.
- Proficiency in SQL, Python, R, or SAS for data analysis, modelling, and visualization.
- Strong understanding of risk management frameworks, including Basel III, IFRS 9, and stress testing methodologies.
- Excellent analytical and problem-solving skills, with the ability to interpret complex data and translate it into business insights.
- Experience with risk management software (e.g., Moody’s Analytics, RiskMetrics) is highly desirable.
- Superb communication skills, with the ability to present technical findings to non-technical stakeholders.
- Detail-oriented, with a commitment to accuracy and adherence to deadlines in a high-pressure environment.