Since 1973, East West Bank has served as a pathway to success. With over 120 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement.
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top performing commercial bank with an exclusive focus on the U.S. and Greater China markets. With a strong foundation, and enterprising spirit and a commitment to absolute integrity, East West Bank gives people the confidence to reach further.
The Financial Crimes Compliance Data Manager works closely with business partners to turn data into critical information and knowledge that can be used to make sound anti-money laundering (AML), sanctions, and fraud risk management decisions. The individual must be detail oriented, able to manage multiple tasks, and lead data-driven changes. Also includes supporting AML, Sanctions, and Fraud systems, analyzing data, tuning applicable rules/parameters, selecting samples and making recommendations on system optimization. This individual must also be able to analyze large amounts of raw and structured information to find patterns that will help our company. Works closely with Fraud strategy and BSA data analytics teams. We offer flexible Hybrid schedule.
Responsibilities Responsible for complex data analysis efforts to discover patterns in large sets of data.Work closely with business partners and conduct analyses to translate data into actionable analytical solutions and promote information-based decision-making recommendations.Communicate results and ideas to key decision makers using data visualization techniquesCoordinate and conduct the tuning and optimization of the various fraud, sanctions, and AML models based on the methodology established. Make recommendations to improve financial monitoring through the development of new risk models, statistical analysis of model thresholds, and other sensitivity and productivity analyses.Generate, monitor and update machine learning models used to identify fraudulent/suspicious activity or enhance productivity. Work with AML and Fraud teams to identify new models to assist in the identification of fraudulent/suspicious behavior or to enhance productivity.Use advanced statistical methods like clustering and regression analysis to ensure appropriate rigor around optimization processes.Conceptualize and develop new rules/models/scenarios, in coordination with Fraud, Sanctions, or AML subject matter experts, to address emerging trends and red flags.Ensure sound risk coverage, adequate quantitative model assessment and validation, and data quality completeness and integrity.Develop data-driven insights and communicate these effectively to management and diverse stakeholders, including management and regulators, using visualization techniques to showcase the results of analysis in concise presentations.Support business lines’ periodic risk assessments through the analysis of data elements related to potential indicators of customer, product, or geographic risk, evaluating and enhancing the Group's risk rating methodologies, and identifying new quantitative factors that can be incorporated into risk assessment processes.Support Model Risk Management's model validation efforts to ensure models are performing as intended.Keep up-to-date with latest technology trends Qualifications 7+ years hands on experience with ERM, KYC, BSA/AML, OFAC or other areas of Fraud.MS in Computer Science / Statistics / Operations Research / Business Analytics or equivalent combination of skills, experience and educationBanking product experienceAnalytical mind and business acumenExperience using business intelligence tools (e.g. Power BI) and data frameworks (e.g. Hadoop)Creative problem solver who thrives when presented with a challengeExcellent pattern recognition and predictive modeling skillsExperience with programming languages such as Python, R, .NET C#Excellent attention to detailAble to multitask, prioritize, and manage time effectivelyExcellent communication, presentation, interpersonal and organizational skillsDesired
Experience with NICE AML and Fraud products is a plusExperience in a similar role at a financial institution or large consulting firm is a plusSoftware language - C#, Power ShellExperience working in Agile development environment Compensation The base pay range for this position is USD $110,000.00/Yr. - USD $140,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location. Options Apply for this job onlineApplyShareEmail this job to a friendRefer <p style="margin: 0px;"><span style="color: #54585a;">Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.</span></p> Share on your newsfeedEast West Bank is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Reasonable accommodations for disability are provided to applicants and employees in accordance with applicable law. Application FAQs
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