At a Glance
- Tasks: Analyse business requirements and drive transformation in investment banking.
- Company: Join a leading investment bank focused on strategic platform development.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and engage with senior stakeholders.
- Why this job: Be part of a major transformation programme that shapes regulatory and data capabilities.
- Qualifications: Experience in business analysis and data management within financial services.
The predicted salary is between 66582 - 77368 £ per year.
Location
Glasgow/hybrid
Salary
Competitive + Benefits
About the Role
An exciting opportunity has arisen for an experienced
Business Analyst to join a large-scale transformation programme focused on building a new strategic platform within the investment banking sector.
Working as part of a high-profile Large Holdings programme, you will play a key role in defining business requirements, analysing complex datasets, supporting regulatory initiatives, and helping drive the migration from legacy platforms to a future-state strategic solution.
This role is ideally suited to someone who enjoys working in a fast-paced environment, has strong data analysis capabilities, and can engage effectively with stakeholders across Business, Operations, and Technology functions.
Key Responsibilities
- Analyse and document business requirements, identifying opportunities to improve processes, controls, and data management.
- Translate complex regulatory requirements into data rules, business logic, and functional requirements.
- Perform detailed gap analysis to support transformation and regulatory initiatives.
- Conduct end-to-end data analysis, ensuring the completeness, accuracy, and timeliness of data consumed across the Large Holdings ecosystem.
- Support the simplification and optimisation of existing data models.
- Coordinate the resolution of legacy platform issues, working closely with Operations and Technology teams to deliver sustainable solutions.
- Collaborate with stakeholders to ensure solutions meet business needs and regulatory expectations.
- Support the development of business cases and feasibility assessments for proposed change initiatives.
- Create operational and process designs that support successful implementation of new solutions.
- Produce project documentation, status updates, and reporting to ensure delivery remains on track.
- Contribute to testing activities, including System Integration Testing (SIT) and User Acceptance Testing (UAT).
- Support change management activities, including requirements traceability, stakeholder engagement, and implementation planning.
Skills & Experience Required
Essential
- Strong Business Analysis experience within complex financial services or investment banking environments.
- Proven experience performing end-to-end data analysis across large and complex datasets.
- Ability to interpret regulatory requirements and translate them into business and data solutions.
- Experience conducting data mapping, gap analysis, data validation, and data quality assessments.
- Excellent stakeholder management and communication skills, with the ability to work across Business, Operations, and Technology functions.
- Strong analytical and problem-solving skills with a high level of attention to detail.
- Experience managing competing priorities in a fast-paced delivery environment.
Desirable
- Exposure to Large Holdings, Equities, or regulatory reporting programmes.
- Experience supporting platform transformation initiatives, including strategic migrations from legacy systems.
- Knowledge of data architecture, data lineage, and data governance principles.
- Familiarity with Jira or similar project management and workflow tools.
- Experience supporting SIT and UAT testing activities.
- Understanding of risk management and control frameworks within financial services.
- What You'll Bring
- A proactive and delivery-focused mindset.
- Strong technical and data fluency.
- The ability to challenge constructively and drive improvements.
- Excellent relationship-building skills with both technical and non-technical stakeholders.
- The confidence to work independently while collaborating effectively within diverse programme teams.
Why Join?
This is an opportunity to work on a major transformation programme that is reshaping critical regulatory and data capabilities within an investment banking environment.
You will gain exposure to senior stakeholders, complex business challenges, and large-scale strategic initiatives while playing a key role in delivering meaningful business change.
If you are a curious, analytical, and solutions-focused Business Analyst looking to make an impact on a high-profile transformation programme, we'd love to hear from you.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst – Reg Reporting/Large Holdings Transformation in Paisley
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
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✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
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We think you need these skills to ace Business Analyst – Reg Reporting/Large Holdings Transformation in Paisley
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Taylor Root, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Taylor Root
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Taylor Root’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.