Experience Level:6 To 8 Years
The Reference Data Services team are responsible for the complete, accurate and timely Party, Account, Product and Client Pricing Data to Firmwide consumers with well-defined controls and active oversight of data quality. The team provides services supporting trading, client services and regulatory compliance. We operate as a professional data company with separate teams providing smooth, daily data service (run-the-bank, RTB) to internal end-users and managing future, strategic data solutions, product, database and data processing enhancements partnered by technology (change-the-bank, CTB).
This is a hands-on Business Analyst position in the Product and EOD Pricing Reference Data Team within the Change the Bank (CTB) Reference Data Services group of Shared Services and Banking Operations.
The resource would be required to oversee a program of work aimed at efficiency and regulatory deliverables, working closely with both Data Services and IT, as well as other teams within the firm where necessary. The Business Analyst is expected to own and drive components of the overall solution. They need to be hands-on in terms of detail and be able to manage and influence others in terms of delivery.
Strong communication skills –particularly in written documentation (user stories, operating procedures, process flow mapping etc)
Experience managing relationships with senior clients strong attention to detail
Prior process improvement, business analysis, and project management experience
A clear understanding of business analysis approaches and concepts
Experience defining business requirements experience managing and executing testing activities
Ability to deal with ambiguity and define approaches to bring un-focused issues to resolution
Agile experience, as well as familiarity with Jira
Strong sense of ownership and accountability
Good understanding of securities reference data and Pricing (e.g. Equities, Listed Derivatives)
Experience with Python, SQL Dataiku and other Data Analytics tools
Ability to work with large datasets and identify data patterns, anomalies, and propose steps for remedial actions
Ability to quickly digest new information and learn new businesses and processes