Data Analytics & Reporting, 1L Financial Crimes Risk, Associate, Wealth Management

Overview

Support the Data, Analytics and Reporting Team (DART) within Financial Crimes Risk (FCR) on analytical and reporting automation for the first line financial crimes program, regulatory thematic updates, and transformation initiatives across Wealth Management, Bank, and Investment Management.

What you'll do

• Support development of control structure based on ongoing analysis and relevant risks related to the first line financial crimes risk program, including regulatory and transformation initiatives
• Through data-driven analyses, liaise with functional area representatives from FCR and its stakeholders to identify and assess potential gaps in the risk framework and provide recommendations on control structures
• Assist with developing requirements and work closely with technology, data & analytics, and operations teams to drive relevant data sourcing systemic control development
• Manage projects to build automated and scalable tools for reporting, analysis and gaining efficiencies in financial crimes risk processes
• Assist in designing and implementing a holistic risk management framework for the firm's financial crimes risk program
• Integrate new data queries and insights into existing supervision framework
• Perform data analysis on special topics related to key events and regulations
• Assist in building data pipelines to support risk management process
• Engage senior stakeholders across 1st and 2nd lines on special initiatives and ongoing financial crimes related risk matters
• Expand the use of AI across 1st line FCR data driven activities and processes to drive efficiency and automation
• Source raw data, quality check it, transform it as necessary, and use it to draw sound conclusions and help drive risk policies

What you'll need

• Strong knowledge of SQL and Python
• Strong project management skills and ability to manage many competing priorities
• Experience visualizing data for reporting and end user analysis, using tools like Tableau
• Practical experience with applying statistical models to solve business problems
• A quantitative degree e.g., Math, Statistics, Computer Science, Finance
• Experience in risk management, financial industry and/or business management
• Working knowledge of financial risk management concepts, with a desire to quickly acquire deeper proficiency
• Excellent written and verbal communication skills, and comfortable interfacing with senior personnel on highly sensitive issues
• Proven ability to work across departments to influence others and build strong relationships
• Strong belief in purposeful evolution, innovation, and digital transformation
• Attention to detail, high level of initiative and resourcefulness and ability to problem solve, demonstrate good business judgment and integrity
• Proficiency in Microsoft programs including Outlook, Word, PowerPoint and Excel
• Familiarity with datasets larger than four million records and building automated and scalable tools for reporting and analysis

Nice to have

• Knowledge related to Wealth Management
• Familiarity with Agile software development and software design patterns