Solution Analyst II in Glasgow

Join our team as a Solutions Analyst II and be at the forefront of driving technical innovation and strategic business solutions. Your role will be key to transforming complex challenges into efficient, tailored solutions, fostering both personal and professional growth. As a Solutions Analyst II in Asset & Wealth Management, you will play a pivotal role in bridging the gap between product owners, business, operations, and software developers by leveraging your technical and analytical reasoning skills. You’ll elicit and document business and data flow requirements, translating them into well-structured and technically feasible solutions. Your adaptability and ability to lead through change will be crucial in ambiguous situations and in effectively handling dependencies. Your strong foundation in data analytics will be instrumental in developing innovative architecture designs and operating systems. Excellent verbal and written communication skills will ensure clear and compelling exchanges with diverse stakeholders, fostering collaboration and driving the success of the company’s projects and programs.

Job responsibilities:

• Contribute to data-driven decision-making by extracting insights from large, diverse data sets and applying data analytics techniques.
• Collaborate with cross-functional teams to provide input on architecture designs and operating systems, ensuring alignment with business strategy and technical solutions.
• Assist in managing project dependencies and change control by demonstrating adaptability and leading through change in a fast-paced environment.
• Promote continuous improvement initiatives by identifying opportunities for process enhancements and applying knowledge of principles and practices within the Solutions Analysis field.
• Guide the work of others, ensuring timely completion and adherence to established principles and practices.
• Turn complex problems into structured requirements and solution approaches by eliciting, analyzing, and documenting business and end-to-end data flows.
• Strengthen decision-making by extracting, interpreting, and communicating insights from large and varied datasets, using appropriate analytics techniques to surface actionable findings.
• Contribute to technical direction by partnering with cross-functional teams to provide input on architecture and operating model considerations, ensuring solutions align with business strategy and technical constraints.
• Support delivery discipline by helping manage dependencies, participating in change control, and adapting quickly as priorities evolve in a fast-paced environment.
• Advance continuous improvement by identifying process gaps, recommending enhancements, and applying Solutions Analysis principles and practices to raise execution quality.
• Guide the work of others as needed, promoting timely completion and adherence to established standards and ways of working.

Required qualifications, capabilities, and skills:

• Experience in solutions analysis, with a focus on eliciting and documenting business and data flow requirements.
• Demonstrated proficiency in data fluency, including experience with data extraction, interpretation, and making data-informed decisions.
• Developing technical fluency in relevant platforms, software tools, and technologies, with a curiosity to continuously expand technical knowledge.
• Experience in data visualization and analytics, including understanding of vendor products and managing vendor relations.
• Strong written communication skills, with a proven ability to effectively translate complex information for diverse stakeholder audiences.

Preferred qualifications, capabilities, and skills:

• Experience integrating large language models into enterprise workflows through APIs (for example, Claude API and OpenAI APIs).
• Practical understanding of retrieval-augmented generation patterns, including embeddings, vector stores, and grounding techniques designed to reduce hallucinations.
• Proficiency in prompt engineering and evaluation, including defining acceptance criteria for non-deterministic outputs, designing human-in-the-loop review processes, and applying risk controls for model failure modes.
• Familiarity with LLM orchestration frameworks (for example, LangChain).
• Background working in enterprise environments with Agile delivery methods (Scrum and/or Kanban), leveraging tools and technologies such as JIRA, Confluence, Python, SQL, REST APIs, and data visualization platforms to support product and delivery decisions.