Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design of innovative data solutions and tackle complex technical challenges.
- Company: Join Aiviq, a cutting-edge fintech company transforming asset management with SaaS technology.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for career growth.
- Why this job: Make a real impact in fintech while working with advanced data technologies and AI.
- Qualifications: 5+ years in business or data analysis, strong SQL skills, and experience in financial services.
- Other info: Collaborative culture with leadership opportunities and direct client engagement.
The predicted salary is between 48000 - 72000 £ per year.
We are looking for a Lead Technical Business Analyst to join our cutting-edge fintech company, Aiviq, a SaaS platform that empowers global asset managers with data-driven insights and innovative technology solutions.
What you will be doing
As a key technical leader within our product team, you will own responsibility for data architecture, drive Enterprise Master Data Management (MDM) capabilities, and serve as the technical escalation point for delivery teams. You will combine deep business knowledge with advanced data modelling skills, embrace AI-augmented workflows, and communicate complex technical concepts to both technical and business stakeholders.
Responsibilities
- Technical Problem Solving & Data Architecture
- Apply extensive business and product knowledge to refine technical problem statements and solve complex data challenges without assistance.
- Take responsibility for specific areas of Aiviq's data architecture, acting as the owner of the logical data model for your domain.
- Complete advanced data modelling and specification tasks, demonstrating extensive domain and technical expertise.
- Lead the design and implementation of Enterprise Master Data Management capabilities, ensuring data quality and consistency across the platform.
- Express complex business requirements comprehensively, owning refinement of non-standard requests or new product features.
- Translate sophisticated concepts into understandable language and demonstrate exceptional interpersonal skills to negotiate and build consensus.
- Data Analysis & Documentation
- Demonstrate full data literacy, drawing meaningful conclusions from data quickly for any purpose, leveraging both traditional analytical methods and AI-assisted tools.
- Take accountability for functional specification design and drive improvements to increase documentation standards across the product team.
- Demonstrate advanced SQL and BI skills, alongside deep knowledge of Aiviq's data stack (Azure, SQL, ADF, DevOps).
- Demonstrate knowledge of existing and emerging data technologies, including AI/ML capabilities within modern data platforms, and principles of good systems and data design.
- Provide oversight of data analysis and data strategy across teams for migrations, upgrades and non-standard changes.
- Product Development Lifecycle
- Own stories through the entire SDLC lifecycle and post-release, ensuring quality from conception to production.
- Provide oversight and ultimate accountability for quality of user stories and acceptance criteria in line with data and product standards.
- Act as technical escalation point for delivery risks impacting product quality and timelines.
- Provide authoritative guidance on expected product behaviour across various scenarios to development and QA teams.
- Maintain functional specifications that describe in explicit terms how our systems work, using concrete examples.
- Testing & Quality Assurance
- Own test outcomes, considering all scenarios and behaviours and providing domain expertise for QA teams.
- Design and execute advanced database level test, migration or configuration scripts with limited supervision.
- Provide product testing sign-off on complex stories, ensuring they meet business acceptance criteria.
- Lead continuous improvement initiatives regarding testing approach, coverage and release management, working with QA to implement changes.
- Stakeholder Engagement & Leadership
- Communicate skillfully with the Aiviq leadership team and technical counterparts at client organisations.
- Coach and lead other product team members, sharing knowledge and elevating team capabilities.
- Act as a valued and active voice in development teams, contributing to continuous improvement of products and processes.
- Demonstrate working knowledge of agile delivery methodologies and confidently deputise for Product Owner within Scrum teams where required.
What you will need
- At least 5 years experience in a business analyst or data analyst role, either within a financial services organisation, consultancy, or (ideally) SaaS/B2B product business.
- Strong experience with asset management or financial services, with preference for candidates who have worked in industry, vendor, or consulting capacity.
- Advanced SQL skills and proficiency with BI tools (e.g., PowerBI, Tableau).
- Deep technical knowledge of data technologies, particularly Azure, SQL Server, ADF, and DevOps.
- Proven experience with data modelling, data architecture, and Master Data Management concepts.
- Demonstrated ability to work autonomously and solve complex technical problems independently.
- Active adoption of AI tools and workflows to enhance productivity, analysis, and problem-solving capabilities.
- Exceptional communication skills with ability to translate technical concepts for diverse audiences.
- Experience with Agile/Scrum methodologies and ability to work effectively in cross-functional teams.
Desirable Qualifications
- Bachelor's degree or equivalent, Master's preferred.
- Evidence of ongoing professional development, including qualifications and courses in Business Analysis and Data Management domains.
- Structured qualifications in Business Analysis (e.g., BCS, APMG).
- Evidence of delivery portfolio including prior delivery achievements and technical problems solved.
What we offer
- Opportunity to lead the design and implementation of cutting-edge Enterprise Master Data Management capabilities.
- Work on critical data architecture challenges for the world's leading asset managers.
- Collaborative environment with exposure to modern cloud technologies, data platforms, and AI-augmented workflows.
- Leadership opportunities including mentoring junior team members and shaping technical direction.
- Direct interaction with senior stakeholders and clients to solve complex business challenges.
- Competitive salary, benefits, and flexible working arrangements.
- Career progression opportunities in a growing fintech company.
Additional Information
- Seniority level: Mid-Senior level.
- Employment type: Full-time.
- Job function: Product Management.
- Industries: Financial Services, Software Development, IT Services and IT Consulting.
Aiviq is a UK-based FinTech specialising in developing SaaS products for the world's investment managers. We are part of Alpha Financial Markets Consulting Plc, a leading global provider of specialist consultancy services to the financial services industry. We look forward to receiving your application!
Lead Technical Business Analyst in London employer: Aiviq
Contact Detail:
Aiviq Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Technical Business Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space, especially those who work at Aiviq or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding of data architecture. Be ready to discuss how you've tackled complex data challenges in the past—real examples will make you stand out!
✨Tip Number 3
Show off your communication skills! Practice explaining technical concepts in simple terms. This is crucial for a role like Lead Technical Business Analyst, where you'll need to bridge the gap between tech and business stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Aiviq.
We think you need these skills to ace Lead Technical Business Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Technical Business Analyst role. Highlight your data architecture expertise and any experience with Master Data Management to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for Aiviq. Share specific examples of how you've tackled complex data challenges and your experience with AI tools. We love a good story!
Show Off Your Technical Skills: Don’t hold back on showcasing your SQL and BI skills! Mention any relevant projects or achievements that demonstrate your technical prowess, especially in Azure and data modelling. We want to see what you can do!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at Aiviq!
How to prepare for a job interview at Aiviq
✨Know Your Data Inside Out
As a Lead Technical Business Analyst, you'll need to demonstrate your deep understanding of data architecture and management. Brush up on your knowledge of Azure, SQL, and ADF, and be ready to discuss how you've applied these in past roles. Prepare specific examples of complex data challenges you've solved.
✨Communicate Like a Pro
You’ll be translating complex technical concepts for various stakeholders, so practice explaining your past projects in simple terms. Use the STAR method (Situation, Task, Action, Result) to structure your responses, ensuring you highlight your exceptional communication skills.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would approach a technical problem or a data challenge. Highlight your experience with AI tools and workflows, and be ready to discuss how they can enhance productivity and analysis.
✨Demonstrate Leadership and Collaboration
Since this role involves coaching and leading team members, come equipped with examples of how you've successfully led projects or mentored others. Discuss your experience with Agile methodologies and how you've contributed to cross-functional teams to drive continuous improvement.
