Senior Manager, Financial Crime Data Analytics, Compliance
Dubai, Dubai, AE
Description
Operating in the UAE for over 50 years, CBD manages the financial requirements of some of the largest corporates and businesses operating in the country, driving the UAE economy. Over the years, CBD has transformed into a progressive and modern banking institution winning multiple awards for its digital initiatives, credit cards, bank accounts, mobile app features and services.
CBD has been recognized as the number one bank in the UAE on the Forbes list of The World’s Best Banks 2022.
As we continue to build upon our successes, we are looking for ambitious individuals who are passionate about the banking and finance industry and the markets in which CBD operates. Just as important to us is your ability to demonstrate a talent for dealing with people - your colleagues and our customers - and delivering service that really goes the extra mile.
The person will report to the Head of FCC. He/she will work with Compliance and IT to develop data analytics capability and actionable insights for the function. Translating regulatory reporting requirements into highly accurate data models and set strategy for how we ensure the best possible data accuracy. The role consists of understanding key performance indicators and strategic priorities of the business. You will provide actionable insights and recommendations using descriptive or predictive analytics to support increased profitability and market dynamics. You will have knowledge about latest trends and enhancements in analytics industry particular to banking.
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.
Requirements
- 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 skill
- At least 10+ years of experience in the banking/financial services sector including, typologies, systems and data analytics
- 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Big Data Computer Science Data Analytics Data quality Data warehouse Finance KPIs Machine Learning Mathematics Power BI SAS SQL Statistics
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