Head of Back Office Global Wealth Management Data and Applications

• Oversee and manage the accuracy and completeness of intra-day books and records for all wealth management transactions and activities
• Ensure timely and accurate reconciliation of internal records with external counterparty statements and market data
• Develop and implement robust controls and processes to maintain the integrity of intra-day financial data
• Act as a subject matter expert for the Financial System of Record, ensuring its accurate functioning for tracking client positions, balances, and transactional activities
• Manage and validate data within the SOR, identifying and resolving discrepancies to maintain a true and accurate representation of client holdings and financial movements
• Collaborate with technology teams to optimize SOR performance, data quality, and reporting capabilities
• Manage and monitor intra-day journaling and bookkeeping processes, ensuring all financial transactions are correctly classified, recorded, and posted in a timely manner
• Implement and review reconciliation procedures for intra-day entries, identifying and addressing any out-of-balance conditions promptly
• Ensure compliance with accounting standards and internal policies for all bookkeeping activities
• Serve as a primary point of contact and lead across other critical back-office functions, including Corporate Actions, Tax Operations, Settlement, and Custody
• Ensure seamless data flow and process alignment between the Financial SOR, books and records, and these interconnected functions to support end-to-end operational efficiency
• Proactively identify and resolve interdependencies and issues that impact multiple back-office areas
• Monitor operational data flows, identify data quality issues, and drive remediation efforts to ensure high data integrity across back-office systems
• Investigate and resolve complex operational breaks and exceptions efficiently, minimizing financial risk and operational impact
• Implement preventative measures to reduce future operational errors and improve process reliability
• Ensure all back-office operations, particularly related to books and records and FSOR management, comply with relevant financial industry regulations, internal policies, and audit requirements
• Identify, assess, and mitigate operational risks associated with back-office data and processes
• Contribute to the analysis, design, and implementation of new functionalities and enhancements for back-office systems
• Proactively identify opportunities for process automation, efficiency gains, and system improvements within the back-office domain
• Participate in testing and validation of system changes, ensuring they meet business requirements and operational standards

• Bachelor's degree in Computer Science, Engineering, or a related field
• 20+ years of experience in back-office operations or technology within the financial services industry, with significant experience in Wealth Management
• Demonstrated expertise in intra-day books and records, financial systems of record (FSOR) for positions, balances, and activities, and intra-day journaling and bookkeeping
• Experience leading large scale transformation/conversion projects for these domains
• Strong understanding of related back-office functions, including corporate actions, tax, settlement, and custody
• Experience with major wealth management platforms or back-office processing systems
• Proficiency in financial products typical of wealth management (equities, fixed income, mutual funds, alternative investments)
• Experience with reconciliation processes and tools
• Knowledge of specific regulatory requirements relevant to wealth management back-office operations
• Strong analytical and problem-solving skills, with a keen eye for detail and data discrepancies
• Ability to work effectively in a fast-paced, high-pressure operational environment
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and business stakeholders
• Familiarity with SQL for data analysis and querying financial systems

Master’s degree preferred