An excellent opportunity for an experienced pricing and reference data professional to join a leading global asset manager in London. This role involves oversight of securities pricing and reference data management, supporting accurate and timely creation and maintenance of securities across multiple asset classes. The successful candidate will demonstrate strong technical expertise, leadership capability, and the potential to progress into a team leadership role.
Key Responsibilities
* Lead the management and continuous improvement of the securities master database, ensuring high levels of data integrity and consistency for all asset classes.
* Oversee and validate daily pricing processes for a broad range of financial instruments (equities, fixed income, derivatives), ensuring accuracy and timely updates from multiple data sources.
* Support and mentor junior team members, sharing knowledge and best practices.
* Design and implement robust reconciliation and data validation frameworks. Identify root causes of discrepancies and lead initiatives to rectify and prevent recurrence.
* Drive enhancements in data management workflows, including automation of manual tasks through scripting or technology solutions. Partner with IT and vendors to optimize systems and tools.
* Support and mentor junior team members, sharing knowledge and best practices.
* Ensure all data management activities adhere to internal policies and external regulatory requirements, maintaining audit readiness and documentation.
* Deliver accurate and insightful reports and analytics on pricing and securities data.
* Respond to ad-hoc data requests with efficiency and accuracy.
Key Requirements
* Minimum 3 years' experience in pricing, securities data management, or a related function within asset management, investment banking, or financial services.
* Proven track record working with securities master systems such as GoldenSource, Markit EDM, Bloomberg AIM, or equivalent.
* Strong familiarity with pricing methodologies across multiple asset classes.
* Deep understanding of a wide range of financial instruments including equities, fixed income, derivatives, and structured products.
* Advanced proficiency in Excel (including VBA/macros), database management, and strong working knowledge of Python.