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U3 INFOTECH PTE. LTD.

System Analyst

Professional Contract 8 年以上经验

月薪

$8,000 – $12,000

发布时间

2026年3月24日

截止 2026年4月7日

技能

Business RoadmapsTeam CollaborationAgentsArtificial IntelligenceCore BankingStrategic DesignEngineeringTechnical ArchitectureArtificial Intelligence ApplicationBankingCreating workshopsBusiness AnalystScalable ArchitectureMCITPTechnical Solution Design

职位描述

Role: System Analyst
Duration: 12 Months (extendable)

Responsibilities

  • Manage and analyse business requirements, translating them into solution designs; facilitate user workshops and model transactions to ensure alignment with business needs.
  • Perform a hands-on techno-functional role to analyse and propose solutions for business issues, including technical, strategic, and process improvements.
  • Collaborate with technology teams, business units, and key stakeholders to deliver project outcomes.
  • Engage stakeholders to understand priorities, requirements, and opportunities for system enhancements.
  • Build strong relationships and effectively manage user and stakeholder expectations.
  • Demonstrate a strong understanding of technical architecture.

Requirements

  • Proven experience in the financial industry with strong exposure to core banking, preferably in a System Analyst or Business Analyst role.
  • Prior experience with Agentic AI and GenAI solutions, including understanding of agent patterns, types, and Model Context Protocol (MCP).
  • Solid understanding of model architecture, prompt engineering, and fine-tuning techniques.
  • Experience in evaluating and integrating LLMs (e.g., LLaMA, DeepSeek, OpenAI, Gemini) into business processes.
  • Familiarity with tools and frameworks such as OpenShift, RAG, and Agentic AI workflows to build GenAI capabilities.
  • Experience in designing and implementing scalable GenAI architectures and solutions.
  • Analytical mindset with the ability to challenge and understand business drivers and proposed solutions.

Key Domain / Technical Skills (Top 3)

  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • LangChain / LangGraph / MCP / Python


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