Business Analyst - VP

Technical Business and Data Analyst - VP

Join to apply for the Technical Business and Data Analyst - VP role at Morgan Stanley

Role
The “Firmwide Data Office” department is recruiting an enthusiastic, dynamic “Technical BA” for this innovative program that plans to harness the power of Graph & Semantic Technologies. You will be building upon an Enterprise Knowledge Graph to help solve complex business problems around Data Lineage, Resilience, Cyber Response, Metadata Management, Data protection all contributing to the Firm’s overall data strategy.

Glasgow
JR016683
Role
The “Firmwide Data Office” department is recruiting an enthusiastic, dynamic “Technical BA” for this innovative program that plans to harness the power of Graph & Semantic Technologies. You will be building upon an Enterprise Knowledge Graph to help solve complex business problems around Data Lineage, Resilience, Cyber Response, Metadata Management, Data protection all contributing to the Firm’s overall data strategy.

As a member of our data science and data analytics team, we look first and foremost for people who are passionate about solving business problems in a data-driven manner, using innovation and best practice engineering, are intellectually curious and can thrive on ambiguity. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our stakeholders globally.

You'll combine your design and development expertise to create innovative technology through solid engineering practices. You’ll work with highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products to our clients & stakeholders.

Department Profile:
Firmwide Data Office
We are a team of around 200+ people distributed globally and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g. Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm.

Team Vision
The team vision is a multi-year effort to simplify firm’s data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making.

Program Description
We are working on an exciting new initiative to build an Enterprise Knowledge Graph by harnessing the power of Graph and Semantic technologies to map complex application, data, and infrastructure asset relationships to facilitate data-driven insights and decision making.

Role and Responsibilities
Across our business divisions, as we strive to understand risk impact, optimize cost, assess business resiliency, manage change and identify opportunities - all critical to fuel the growth engine -, we need to link vast amount of data of different types and forms across heterogeneous data sources across the Firm to generate meaningful intelligence.

• In depth data analysis, with a focus on solving specific business problems of Cyber Resilience, Data Lineage, Business Continuity and Data Protection
• Harness the power of a semantic triple store and graph database to answer complex business questions, delivering insights and inference capabilities
• Align data requirements to application development within a graph framework
• Contribute to data modeling to ensure it can support a variety of use-cases from traditional reporting, to application UI’s and LLM-based chatbots and RAG query/responses
• Work within an Agile framework, emphasizing capabilities that contribute to business value
• Act as a role model to junior analysts, data scientists, business analysts and developers
• Help build a rapidly growing team in a competitive environment

Requirements

• Bachelor’s degree or equivalent and 8+ years of relevant experience in Data and Business Analysis
• Familiarity with working with Graph databases
• Strong communication skills with…