Solutions Analyst II

JPMorgan Chase JPMorgan Chase · Banking · GLASGOW, LANARKSHIRE, United Kingdom · Asset & Wealth Management

This role focuses on bridging the gap between business and technical teams, translating requirements into solutions, and leveraging AI tools to enhance analysis and workflows. It involves data analysis, process improvement, and collaboration within a financial services context.

What you'd actually do

  1. Contribute to data-driven decision-making by extracting insights from large, diverse data sets and applying data analytics techniques
  2. Collaborate with cross-functional teams to provide input on architecture designs and operating systems, ensuring alignment with business strategy and technical solutions
  3. Assist in managing project dependencies and change control by demonstrating adaptability and leading through change in a fast-paced environment
  4. Promote continuous improvement initiatives by identifying opportunities for process enhancements and applying knowledge of principles and practices within the Solutions Analysis field
  5. Guide the work of others, ensuring timely completion and adherence to established principles and practices

Skills

Required

  • 2+ years of experience or equivalent expertise 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 the proven ability to effectively translate complex information for diverse stakeholder audiences
  • AI-first approach to problem-solving, with comfort experimenting with and applying AI tools to research, analysis, and day-to-day workflows
  • Awareness of current technology and AI development trends, with hands-on curiosity and the ability to quickly learn and apply new tools and platforms
  • Demonstrated ownership, with the ability to take a problem or feature and independently drive it toward a solution
  • Experience working in a collaborative, cross-functional environment with both technical and non-technical stakeholders
  • Strong written and verbal communication skills, with the ability to clearly articulate complex problems in multiple ways and present to diverse audiences
  • Proficiency in creating business requirements documents, process flows, and user stories
  • Ability to manage multiple tasks and priorities in a fast-paced, dynamic environment

Nice to have

  • Hands-on experience using AI tools such as generative AI assistants or LLM-based tools to support analysis, documentation, or productivity
  • Familiarity with wealth management, financial services, or investment products and platforms
  • Experience working within agile or scrum delivery frameworks
  • Exposure to data analysis tools or query languages such as SQL, and to data visualization platforms
  • Understanding of Cloud based platforms such as AWS.
  • Understanding of API integrations, system architecture, or modern data and AI pipeline concepts
  • Experience supporting technology implementations or digital transformation initiatives

What the JD emphasized

  • AI-first approach
  • hands-on curiosity
  • independently drive it toward a solution