System Analyst, AI (Banking, 1-year renewable contract)

Dear Applicant,

If you or someone you know is interested, please send the CV directly to [Confidential Information] (most preferred, as I may overlook some CVs due to the high volume).

Please note that visa sponsorship is not available at this time.

Key Responsibilities

. Analyse business requirements and translate them into solution designs, facilitating user requirement workshops and modelling end-to-end system transactions to ensure business needs are met.

. Act as a hands-on techno-functional analyst to identify business issues and propose technical, strategic, and tactical solutions, process improvements, and functional requirements.

. Analyse, design, and implement scalable Generative AI (GenAI) solutions and architectures to support business needs.

. Evaluate and integrate Large Language Models (LLMs) into business processes and enterprise applications.

. Analyse and propose solutions involving Agentic AI, including agent patterns, workflows, and Model Context Protocol (MCP).

. Collaborate with infrastructure, application support, engineering, and other technology teams to deliver end-to-end system solutions.

. Engage business stakeholders to understand priorities, gather requirements, identify improvement opportunities, and recommend appropriate solutions.

. Build strong relationships with users and stakeholders, manage expectations, and ensure alignment between business requirements and technical delivery.

. Assess proposed solutions critically to ensure they address business drivers, technical constraints, and operational needs.

. Work with relevant technology teams to support the integration of GenAI capabilities into existing systems and business processes.

Key Requirements

. Bachelor's degree in Computer Science, Information Technology, or a related field.

. At least 6 years of relevant experience, preferably within financial institutions or banking technology.

. Experience in the financial industry, with a background in system analysis or core banking business processes, ideally involving GenAI solutions.

. Hands-on experience with Generative AI and Agentic AI solutions, including agent patterns, types, workflows, and Model Context Protocol (MCP).

. Fundamental understanding of LLM architecture, prompt engineering, and model fine-tuning.

. Experience evaluating and integrating LLMs such as LLaMA, DeepSeek, OpenAI, Gemini, or equivalent into business processes.

. Experience designing and implementing scalable GenAI architectures and solutions using appropriate tools and frameworks.

. Strong understanding of banking processes and functions.

. Technical knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, LangGraph, and MCP.

. Proficiency in Python.

. Strong problem-solving and analytical skills, with the ability to challenge proposed solutions and understand underlying business drivers.

. Excellent communication and interpersonal skills, with the ability to collaborate effectively across business and technology teams.

. Strong organisational, stakeholder management, and leadership skills.

Nice to Have

. Experience with OpenShift.

. Practical experience implementing RAG, Agentic AI solutions, and the workflows required to build GenAI capabilities.