Business Analyst/Solutions Architect - Banking

City of London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer - Celonis

Senior Data Engineer

Senior Data Engineer

Data Engineer

Business Analyst/Solutions Architect - Banking

Are you an experienced IT Business Analyst or Technical Analyst with a strong solutions architecture background or a solutions architect with business analysis experience particularly wrt to Fixed Income products in banking (your CV must show experience in both areas clearly) ?

Our client are looking for someone with a passion for designing and delivering robust technology solutions within the financial services sector? We are seeking a talented individual to join a leading organisation's Delivery team in London.

This is a fantastic opportunity to play a key role in analysing, designing, and implementing critical technical solutions for Risk Management. You will work closely with various stakeholders to understand complex technical needs, provide detailed analysis, and deliver solutions that integrate legacy, tactical, and strategic components across the IT infrastructure.

Key Responsibilities:

  • Conduct detailed technical analysis and provide recommendations aligned with business objectives.

  • Analyse, design, and deliver functional, technical, process, and data specifications, models, mappings, and transformation rules.

  • Design and deliver end-to-end business process, application, and information architecture solutions.

  • Develop and design technical solutions that meet business requirements and align with the organisation's IT strategy.

  • Create and maintain comprehensive documentation, including technical specifications, system configurations, process flows, solution architectures, system diagrams, and data flow diagrams.

  • Collaborate effectively with business leaders, IT teams, and other stakeholders to gather requirements and ensure solutions meet their needs.

  • Assist in system design and implementation, ensuring they meet technical and business requirements.

  • Develop and execute test plans.

  • Provide technical support and troubleshooting.

  • Evaluate and recommend new technologies and tools.

  • Establish and enforce solution architecture standards and best practices.

  • Provide architectural guidance and support for IT projects, ensuring scalability, security, and alignment.

  • Identify and mitigate risks associated with solution architectures.

  • Drive specific technology endeavours related to the organization's strategic goals.

    Your Profile:

  • Minimum of 5 years experience in solution architecture or a senior technical/business analyst role, with a proven track record in designing and implementing technical solutions, ideally within banking or financial services.

  • Strong background in technical analysis and excellent problem-solving skills.

  • Good product knowledge of and exposure to Fixed Income Products in banking

  • Experience designing solutions involving legacy, tactical, and strategic system integration.

  • Proficiency in architectural frameworks, cloud computing (especially Azure), software development concepts, and cybersecurity principles.

  • Highly desirable experience includes: On-prem/Cloud/Hybrid environments, Azure Integration, Databricks, SQL Server, Oracle, XML, Python, Power Apps, BAIS, Digital Workflow, Process Orchestration, BPMN.

  • Understanding of banking products, related financial instruments, and front-to-back-office business processes is beneficial.

  • Experience with Agile frameworks (JIRA & Confluence expertise).

  • Excellent communication (written and verbal), interpersonal, and stakeholder management skills.

  • Ability to work autonomously, manage large workloads, meet tight deadlines, and operate effectively in a fast-paced, multicultural environment.

  • Educated to degree level or equivalent working experience.

  • Relevant cloud certifications (eg, Azure Solutions Architect Expert, AWS Certified Solutions Architect) are preferred.

    Keywords : architect, business, system, systems, analyst, technical, architecture, solution, design, enterprise, consultant, fixed, income, banking

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.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.