Job Description

Client: Bank Sector Client:

Primary Focus: Application / Software Systems Analysis - GenAI

Secondary Exposure: Technology Solution Architecture / Enterprise Integration

Domain/Project: Global Markets, Capital Markets Banking Technology, and Market Risk Technology.

Role Overview

We are looking for an experienced System Analyst with Generative AI (GenAI) and global markets / capital markets banking technology experience to support the analysis, solution design and delivery of enterprise GenAI and Agentic AI solutions.

This is a techno-functional role sitting between business users, technology teams and solution/architecture teams.

The successful candidate will analyse business requirements, facilitate requirements workshops, translate business needs into functional and technical solution designs, and support the implementation of GenAI / Large Language Model (LLM) solutions within an enterprise banking environment.

The role requires a combination of:

Systems Analysis
Banking Technology / Banking Processes
GenAI / Large Language Models
Agentic AI / AI Agents
Solution Design
Stakeholder Management
Enterprise Technology Integration

Key Responsibilities

Gather, analyse and translate business requirements into functional and technical solution designs.
Conduct user requirements workshops with business users, technology teams and other stakeholders.
Understand existing business processes, system workflows and transaction flows and determine how proposed solutions can meet business requirements.
Perform a hands-on techno-functional System Analyst role, analysing business and system issues and recommending practical technical, functional and process solutions.
Translate business requirements into:
- Functional requirements
- System requirements
- Solution designs
- Process changes
- GenAI / AI use cases
Support the design and implementation of Generative AI (GenAI) and Agentic AI solutions within enterprise banking environments.
Work with technology, infrastructure, application support, architecture and other teams to deliver end-to-end system solutions.
Evaluate how Large Language Models (LLMs) and GenAI technologies can be integrated into existing business processes and applications.
Analyse and understand Agentic AI architectures, including agent patterns, agent workflows and interactions between AI agents and enterprise systems.
Support solution design involving:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Agentic AI / AI Agents
- LangChain
- LangGraph
- Model Context Protocol (MCP)
- Prompt Engineering
- LLM Model Integration
Assess and evaluate LLMs such as OpenAI, Gemini, Llama, DeepSeek or similar models for enterprise use cases.
Collaborate with technical architects and engineering teams to ensure solutions align with the organisation's technical architecture, system standards and enterprise requirements.
Participate in the design of scalable enterprise GenAI architectures and solutions.
Collaborate with stakeholders to understand priorities, business needs, system improvements and technology requirements.
Build strong relationships with business users and technology stakeholders and manage expectations throughout the solution delivery lifecycle.

Requirements

Education & Experience

Bachelor's Degree in Computer Science, Information Technology, Information Systems, Engineering or a related discipline.
6+ years of relevant experience in Systems Analysis, Technology Delivery, Business Systems Analysis or related technology roles.
Experience working within Banking, Financial Services or Financial Institution technology environments is strongly preferred.
Good understanding of banking processes, banking systems and enterprise technology environments.

Systems Analysis & Solution Design

Strong experience in:

System Analysis / Systems Analysis
Business Requirements Analysis
Functional Requirements
Requirements Gathering
Requirements Workshops
Solution Design
Functional Solution Design
Business Process Analysis
System Process Analysis
Stakeholder Management
Enterprise Systems
Technology Delivery

Candidates should be comfortable working between business users and technical teams, translating business requirements into workable technology solutions.

Generative AI / LLM Knowledge

Good understanding and practical exposure to:

Generative AI / GenAI
Large Language Models (LLMs)
Agentic AI
AI Agents
Agent Patterns
Agent Workflows
Retrieval-Augmented Generation (RAG)
LangChain
LangGraph
Model Context Protocol (MCP)
Prompt Engineering
LLM Architecture
Model Evaluation
Model Integration
Context Management
LLM / AI Workflows

Candidates should understand how these technologies can be integrated into enterprise applications and business processes.

LLM / Model Experience

Experience evaluating, integrating or working with LLMs such as:

OpenAI
Gemini
Llama
DeepSeek
Other commercial or open-weight Large Language Models

Fundamental understanding of:

LLM / model architecture
Prompt Engineering
Model selection and evaluation
Model integration
Fine-tuning concepts

Deep AI research or model-development experience is not required, but candidates should be sufficiently technical to understand GenAI solution designs and work effectively with engineering and architecture teams.

Technical Skills

Exposure to the following would be advantageous:

Python
LangChain
LangGraph
RAG
Model Context Protocol (MCP)
Agentic AI frameworks
Enterprise GenAI platforms
OpenShift
Containerised application environments
GenAI workflow / orchestration technologies

Key Competencies

Strong analytical and problem-solving skills.
Ability to question proposed solutions and understand the underlying business drivers.
Strong communication and stakeholder management skills.
Ability to communicate between business and technical teams.
Strong organisational and coordination skills.
Ability to work across multiple technology teams including application, infrastructure, architecture and support teams.
Strong team player with good interpersonal skills.
Ability to operate within a complex enterprise technology environment.

Key Domain / Technical Skills

1. Systems Analysis, Solution Design & Banking Technology

2. Generative AI, Large Language Models, RAG, Agentic AI, LangChain, LangGraph & MCP

3. Python, GenAI Architecture & Enterprise Technology Integration

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About Us: Build Your Career in Banking and Technology - Contract & Permanent Roles Available

D L Resources provides Technology Managed Services and outsourced staffing for banks, multi-national corporations MNCs, technology firms, and corporates. We also offer recruitment, direct placement, and temporary contract jobs across a wide range of roles-covering both technology and business functions.

Interested Candidate May Also Reach Out Directly Via Mobile/Whatsapp +65 8833 0192 to our recruiter Edwin (EA License No. 24C2333EA Personnel No. R24123520)