Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Technical Business and Data Analyst - VP

Morgan Stanley
Glasgow
3 weeks ago
Create job alert

Technical Business and Data Analyst - VP

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

Technical Business and Data Analyst - VP

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

Get AI-powered advice on this job and more exclusive features.

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 toe 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 toe 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.

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.

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.

Responsibilities

  • 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 demonstrated ability to lead initiatives, including defining, implementing and reporting on progress and business impact
  • Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audiences
  • Ability to work with senior stakeholders, bringing different teams together to execute on a plan towards a common goal
  • Significant experience in Program Management for large transformation projects, with understanding of high-quality governance practices
  • Experience working with stakeholders to capture requirements, user stories and covert them into development deliverables

Advantages

  • Understanding of RDF, OWL, SHACL and other semantic technologies
  • Familiarity with Ontologies
  • Previous experience with LLM driven solutions and NLP practices
  • Experience in Banking or Financial Services

What You Can Expect From Morgan Stanley

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Certified Persons Regulatory Requirements

If t his role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement

Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionBusiness Development and Sales

Referrals increase your chances of interviewing at Morgan Stanley by 2x

Sign in to set job alerts for “Technical Business Analyst” roles.

Glasgow, Scotland, United Kingdom 6 days ago

Glasgow, Scotland, United Kingdom 1 week ago

Glasgow, Scotland, United Kingdom 1 week ago

Business Analyst - Product + Smart Solutions

Glasgow, Scotland, United Kingdom 5 days ago

Glasgow, Scotland, United Kingdom 2 days ago

Glasgow, Scotland, United Kingdom 2 days ago

Glasgow, Scotland, United Kingdom 1 week ago

Paisley, Scotland, United Kingdom 2 weeks ago

Business Analyst (Transaction Reporting)

Paisley, Scotland, United Kingdom 2 weeks ago

Business Analyst - Service Design and Transformation

Glasgow, Scotland, United Kingdom 3 weeks ago

Glasgow, Scotland, United Kingdom 5 days ago

Glasgow, Scotland, United Kingdom 19 hours ago

Glasgow, Scotland, United Kingdom 1 week ago

Clearing & Settlement Business Analyst Mgr. - CSM/PMI-ACP

Glasgow, Scotland, United Kingdom 5 days ago

Glasgow, Scotland, United Kingdom 1 week ago

Glasgow, Scotland, United Kingdom 1 week ago

Senior Technical Product Owner - Digital Integration

Glasgow, Scotland, United Kingdom 13 hours ago

Glasgow, Scotland, United Kingdom 1 week ago

Glasgow, Scotland, United Kingdom 20 hours ago

Glasgow, Scotland, United Kingdom 6 days ago

Glasgow, Scotland, United Kingdom 1 day ago

Glasgow, Scotland, United Kingdom 3 days ago

Glasgow, Scotland, United Kingdom 2 days ago

Glasgow, Scotland, United Kingdom 16 hours ago

Glasgow, Scotland, United Kingdom 6 days ago

Senior Consultant - Technical Project Manager

Glasgow, Scotland, United Kingdom 3 days ago

Senior Business Systems Analyst - SAP Finance

Glasgow, Scotland, United Kingdom 1 week ago

Glasgow, Scotland, United Kingdom 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst

Technical Business Analyst – Data Science & Gen AI (Lead I - Business Analysis)

Senior Data Engineering Analyst

Senior Business & Data Analyst

Senior Business & Data Analyst

Data Analyst and Test Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.