Solution Analyst II

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.

• 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
• Turncomplexproblemsintostructuredrequirementsandsolutionapproachesbyeliciting,analyzing,anddocumentingbusinessandend‑to‑enddataflows.
• Strengthendecisionmakingbyextracting,interpreting,andcommunicatinginsightsfromlargeandvarieddatasets,usingappropriateanalyticstechniquestosurfaceactionablefindings
• Contributetotechnicaldirectionbypartneringwithcross functionalteamstoprovideinputonarchitectureandoperatingmodelconsiderations,ensuringsolutionsalignwithbusinessstrategyandtechnical constraints
• Supportdeliverydisciplinebyhelpingmanagedependencies,participatinginchangecontrol,andadaptingquicklyasprioritiesevolveinafast‑paced environment
• Advancecontinuousimprovementbyidentifyingprocessgaps,recommending enhancements,and applying
  
  Solutions Analysisprinciplesandpracticestoraiseexecutionquality
• Guidetheworkofothersasneeded,promotingtimelycompletionandadherencetoestablishedstandardsandwaysofworking

• 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
• Experienceinsolutionsanalysiswithdemonstratedabilitytoelicit,clarify,anddocumentbusinessrequirementsanddataflowrequirements
• Strongdatafluency,including hands‑onexperienceextractingandinterpretingdataandusingittoinformdecisions
• Buildingtechnicalfluencyacrossrelevantplatforms,tools,and technologies,withcuriosityandinitiativetoexpandthatknowledgeovertime
• Experiencewithdatavisualizationandanalytics,alongwithanunderstandingofvendorproductsandtheabilitytoworkeffectivelyinvendormanagementandrelationshipcontexts
• Preciseandclearwrittencommunicationskills,withtheabilitytotranslatecomplexconceptsintomaterialsthatresonatewithdiversestakeholderaudiences

• Experienceintegratinglargelanguagemodelsintoenterpriseworkflowsthrough
  
  APIs(for example,Claude
  
  APIandOpenAIAPIs)
• Practicalunderstandingofretrieval‑augmentedgenerationpatterns,including embeddings,vector stores,andgroundingtechniquesdesignedtoreducehallucinations
• Proficiencyinpromptengineeringandevaluation,includingdefiningacceptancecriteriafornon‑deterministic outputs,designing human‑in‑the‑loopreviewprocesses,andapplyingriskcontrolsformodelfailuremodes
• Familiarity with
  
  LLMorchestrationframeworks(for example,Lang Chain)
• Backgroundworkinginenterpriseenvironmentswith Agiledeliverymethods(Scrumand/or Kanban),leveragingtoolsandtechnologiessuchas
  
  JIRA,Confluence,Python,SQL,RESTAPIs,anddatavisualizationplatformstosupportproductanddeliverydecisions