Application Development with Java and Oracle - Vice President

• Lead a team of skilled engineers responsible for the design, development, and 24/7 operation of the core back-office platforms, including systems for trade processing, settlement, intra-day book-keeping, and the official wealth books and records
• Oversee the development and management of robust data services and APIs that provide accurate, timely position, balance, and transaction status information to front-office and middle-office systems
• Leverage modern data techniques to enhance operational efficiency. Apply analytics and, where appropriate, AI/ML to improve processes like reconciliation, identify data anomalies, and generate insights from the vast datasets within the books and records
• Take ultimate responsibility for the accuracy, integrity, auditability, and performance of the firm's official wealth books and records
• Champion a culture of measurement. Define, monitor, and report on key performance indicators (KPIs) across the entire ecosystem, including batch processing times, data reconciliation breaks, and API latency
• Serve as the subject matter expert for the entire back-office ecosystem, from trade capture and settlement systems to the general ledger, sub-ledger, and downstream reporting platforms
• Partner with global architects and business leaders to define the technical roadmap for the back-office platforms, driving the modernization of legacy systems and improving intra-day processing capabilities

• 13+ years of technology experience, with a significant track record in wealth management back-office technology at leading financial institutions
• Deep, hands-on experience managing large-scale, high-throughput OLTP databases (e.g., Oracle, PostgreSQL, SQL Server) that support financial ledgers
• Strong experience with analytical data platforms and data warehousing (e.g., Snowflake, BigQuery, Redshift) for reporting and analytics on financial data
• Proven track record of designing and operating mission-critical data services and APIs
• Strong data modeling skills for financial transactional systems and ledgers
• Experience with or exposure to the application of data analytics or AI/ML for process automation, reconciliation, or anomaly detection is a plus
• Expertise with performance measurement and monitoring tools (e.g., AppDynamics, Splunk, Prometheus, Grafana)
• Proven ability to lead, mentor, and manage a high-performing engineering team
• A strong, demonstrable work ethic and a deep sense of ownership, with a history of seeing complex systems through from conception to long-term operational stability
• The ability to maintain a holistic, end-to-end view of a complex back-office ecosystem, understanding the flow of data from trade execution to final settlement and reporting
• Excellent communication skills, with the ability to effectively collaborate with technical teams and business stakeholders across different geographic locations
• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline

Experience with or exposure to the application of data analytics or AI/ML for process automation, reconciliation, or anomaly detection is a plus