Posted 17 days ago
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The Credit Risk Data Analyst will produce analytics and recommendations to support strategy, controls, and performance monitoring within the risk management team. The role involves developing periodic and ad hoc analyses, understanding performance drivers across the account lifecycle, and working with operational processes such as underwriting and collections. The analyst will query large datasets, transform raw data into actionable management information, and use tools like SAS and decision-tree software to support insights and recommendations to management.
- Compensation
- Not specified
- City
- Manila
- Country
- Not specified
Currency: Not specified
Full Job Description
Location: Metro Manila, National Capital Region, Philippines
Join our team to leverage your analytical skills and contribute to strategic decision-making within the risk management domain.
Job Summary:
As a Strategic Analytics Associate within the risk team, you will generate insightful analytics and provide recommendations to the business regarding strategy development, implementation, operational controls, and performance monitoring.
Job Responsibilities:
- Develop and maintain periodic analytics to provide management with full insight into emerging trends and the quality of the originated accounts.
- Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle.
- Acquire an understanding of the operational processes (e.g., manual underwriting, portfolio management, collections) which will aid in understanding acquisition performance drivers.
- Conduct ad hoc analytics and contribute to various projects representing Risk Management.
Required Qualifications, Capabilities, and Skills:
- BS degree and minimum 5 years of Risk Management or other quantitative experience required.
- Background in statistics, econometrics, or other quantitative field required.
- Advanced understanding of SAS, SAS Enterprise Miner, or other decision tree software.
- Ability to query large amounts of data and transform the raw data into actionable management information.
- Familiarity with risk analytic techniques.
- Strong analytical and problem-solving abilities.
- Strong written and oral communication skills.
- Experience delivering recommendations to management.
Preferred Qualifications, Capabilities, and Skills:
- MS degree and 3 years of Risk Management or other quantitative experience preferred.
Contribute to strategic decision-making within the risk management domain through thoughtful analytics and recommendations.
