Senior Manager Financial Crime Data Analytics

Commercial Bank of Dubai

Responsibilities:

• Develop and leverage innovative data analytics methodology and algorithms to reduce false positive rates.
• Drive actionable insights through data analytics to identify new and emerging financial crime patterns to pro-active develop detection/prevention scenarios in transaction monitoring system.
• Extract, validate, transform, and load data from multiple sources and data warehouse, big data platform and other data sources available in the bank to provide efficient and effective analytics for the Financial Crime Compliance department.
• Undertake periodic assessment on AML/CFT typologies and scenarios configured in the transaction monitoring system
• Support maintain and assist in enhancing the exiting systems and controls owned by the team.
• Pro-actively manage data quality issues as they are arisen.
• Responsible for developing and delivering insightful dashboards for Financial Crime team by incorporating key performance measures and indicators that drive bank s performance measurements across products, segments and channels and abreast senior leadership on a regular basis on the health of the business and any early waning indicators.
• Transform the analytic insights into understandable and actionable recommendations and then communicate them effectively across the organization.
• Using appropriate Machine Learning algorithms and techniques develop advanced analytics and predictive analytics solutions
• Manage consolidation, collection, and reporting of KPIs pertaining to Compliance and Risk functions.

Qualifications

• Bachelor s degree in Computer science / Statistics/ Mathematics from a reputed university.
• Understanding and proficiency in Analytics and BI tools like SAS, SQL, Power BI etc.
• Strong communication and interpersonal skills

Experience

• At least 10+ years of experience in the banking/financial services sector including, typologies, systems and data analytics

Skills

• Experience and an understanding of a wide variety of analytical techniques including machine learning techniques.
• Ability to clearly present data-rich insights to senior management using appropriate graphics and business language, so that key messages can be actioned.
• Strong commercial acumen and ability to distil complex analysis and turn into easily understandable, business-oriented insights.
• Ability to visualize and develop graphical presentations for decision support.
• Excellent written and verbal communication skills.
• Ability to build and motivate a team to achieve well communicated expectations.
• Strong negotiating and consensus building abilities