Associate

About the Role

The Data, Analytics and Reporting Team (“DART”) within Financial Crimes Risk (“FCR”) is seeking a candidate to provide analytical and reporting automation support for the financial crimes program, regulatory thematic updates, and transformation initiatives across the first line financial crimes processes.

Key Responsibilities

• 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.

Requirements & Tech Stack

• 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.
• Quantitative degree (e.g., Math, Statistics, Computer Science, Finance).
• Experience in risk management, financial industry and/or business management. Knowledge related to Wealth Management is a plus.
• Working knowledge of financial risk management concepts, with a desire to quickly acquire deeper proficiency.
• Familiarity with Agile software development and software design patterns is a plus.
• 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.