Junior AI Business Analyst – Prompt Engineering (She/ He/ They)

CAPCO POLAND

*We are looking for Poland based candidate.

At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management.

ROLE OVERVIEW

The team supports a Tier 1 Corporate & Investment Banking (CIB) client within the Market Risk domain in the development of AI and Agent-based Proof of Concepts (PoCs).

We’re looking for a Junior Business Analyst who is a structured thinker and AI explorer. Someone who is analytical and curious, eager to experiment with AI while bringing clarity, structure, and rigor to business analysis, requirements engineering and delivery processes. No prior experience in Capital Markets or Market Risk is required.

This role combines:

• Prompt engineering experimentation
• Business analysis structuring
• Requirements formalization
• Agile delivery support

KEY RESPONSIBILITIES

As a Junior Business Analyst, you will work closely with Senior Consultants and client stakeholders in the areas of:

 AI & Prompt Engineering:

• Design, test and refine prompts for AI/Agent-based use cases
• Experiment with different prompting strategies to optimize outputs
• Document and structure prompt patterns and learnings
• Identify practical business applications of AI in requirements engineering and delivery workflows

 Business Analysis & Delivery Support:

• Translate business needs into structured requirements
• Support grooming and structuring of JIRA backlogs
• Define user stories with clear acceptance criteria
• Draft test cases and support UAT preparation
• Analyze AI-generated outputs and assess their business usability
• Contribute to PoC evaluation (value, feasibility, risks)

Analytical & Exploratory Work:

• Explore how AI can improve:
  • Requirements definition
  • Documentation quality
  • Test case generation
  • Workflow automation
• Identify improvement opportunities and propose enhancements
• Structure findings into clear presentations and documentation

KEY REQUIREMENTS

Professional experience:

• Initial experience (0–2 years) in:
  • Business Analysis
  • Consulting
  • Banking / Financial Services
  • Digital / IT projects
• Exposure to Agile environments is a plus
• Proven initial practical use and application of AI tools (e.g., ChatGPT, Copilot, Claude, etc.) either professionally, at university or personally

Skills & Mindset:

• Demonstrated understanding of how to effectively interact with AI tools (e.g., large language models), including the ability to craft, test, and refine prompts.
• Awareness of AI limitations, risks, and ethical considerations, such as hallucinations, bias, data privacy, and reliability of outputs.
• (Nice-to-have) prompt engineering techniques (chain of thought, few-shot prompting, etc.) and RAG knowledge
• (Nice-to-have) Observability and evaluation (to know whether change of prompt improved the results of the model)
• Strong analytical thinking
• Structured and detail-oriented mindset
• Curiosity about AI and emerging technologies
• Ability to challenge and refine outputs critically
• Clear and concise communication skills
• Ability to structure ambiguity into clarity
• Ownership and proactivity

Technical exposure: