Work with the Global Data team of our Investment Delegated Solutions providing inputs into data architecture and governance, driving data quality and support operational excellence in execution of data orientated initiatives.
Drive global data governance, management and analysis.
Design, build and run robust processes for delivering data management.
Drive and implement approved data change initiatives.
Implement and support continued operations of data governance practices as directed by the Head of Data (HoD)
Design, deliver and undertake data quality monitoring processes
Recommend Data Definitions and Standards to HoD, consulting with Data Owners as required
Provide HoD with MI reports on the quality, availability, usage of their data
Perform root cause analysis on data quality issues received from Data Owners and escalate where required to the HoD; resolve issues delegated by the HoD
Drive and implement HoD approved data change initiatives
Communicate data availability and quality issues to data owners and stakeholders
Collaborate with stakeholders on data requirements.
Qualifications:
Previous in-depth knowledge of Eagle Performance & Data Management.
Proficiency with unit funds or NAVs (Net Asset Value) would be beneficial, ideally with a familiarity with aspects like swing pricing, distributing share classes etc.
Understanding of the financial services industry, specifically Investment Accounting.
Understanding of investment performance measurement and analysis.
Experience of business process improvement in asset management – for example, performing data investigations to determine root cause of data quality issues.
Degree in Computer Science, Information Systems Management, Business or related discipline.
Proficiency with data processing and data warehouse / big data environments.
Strong knowledge of Excel/VBA(Visual Based Application) and demonstrated experience of languages like SQL.
Familiarity with ETL (Extract, Translate and Load) tools for efficiently and accurately importing new data for various external/internal sources
Proficiency with designing data models, defining data architecture schema etc.
Experience in financial services/investment management.