East West Bank
Data Analyst
Job Description
Overview:
We are seeking a skilled Data Analyst to join our Enterprise Risk Management (ERM) team. The ideal candidate will play a key role in analyzing fraud data to support assessment, reporting and monitoring. They will be work closely with 2nd Line of Defense (2LOD) Risk Managers, departments, and Senior Management to ensure that the bank’s fraud risk profile is well-understood, and that data driven methods are made to analyze and mitigate potential gaps in fraud controls.
Responsibilities:
- Collect, cleanse, and analyze datasets from disperse sources in identify trends, patterns, and anomalies that could impact the bank’s fraud risk program.
- Conduct statistical analyses to quantify fraud risk exposures and maintain data sets to support fraud risk assessments.
Risk Reporting
- Ensure the accuracy, consistency and timeliness of fraud risk related data and reports, such as fraud metric Key Performance Indicators (KPI).
- Prepare comprehensive risk reports, dashboards and presentations for Senior Management and other key stakeholders, including Financial Crimes Risk Management committee.
Risk Monitoring
- Monitor Board level as well as Business Unit level Key Risk Indicators (KRI) and stay current with industry best practices for data analysis in risk management.
- Collaborate with 2LOD Risk Managers / ERM team to continuously improve KRI framework and reporting.
Qualifications:
- Bachelor’s degree in Data science, Statistics, Mathematics, Economics or a technology field.
- Minimum 2 years of experience in data analysis, preferably at financial services or fintech company
- Proficiency in data analysis tools such as SQL, Python, R, and advanced Excel.
- Knowledge of statistical analysis technique and risk management frameworks is preferred.
Compensation: The base pay range for this position is USD $67,000.00/Yr. – USD $86,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.
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