Description

Required qualifications:
• Bachelor’s degree in computer science, Engineering, Mathematics, Finance, or a related field, or equivalent practical experience.
• Strong hands-on experience with Python and modern software engineering practices.
• Practical experience building applications using Python, OpenAI or Claude Agent SDK and other agentic frameworks (comparable LLM APIs).
• Strong understanding of prompt engineering, including prompt design, prompt testing, grounding, context management, and output validation.
• Experience building AI or data-driven applications that use APIs, databases, cloud services, and enterprise data sources.
• Ability to work directly with business stakeholders, lead discovery discussions, clarify ambiguous requirements, and convert business problems into technical solutions.
• Strong communication skills and the ability to explain AI concepts, risks, and design choices in clear business language.
• Experience working in agile, fast-moving environments where prototypes must quickly evolve into production-ready solutions.

Preferred qualifications:
• Financial-services experience, ideally within capital markets, Fixed Income, trading, sales, risk, operations, or banking technology.
• Familiarity with Fixed Income products such as rates, credit, securitized products, municipals, FX, or derivatives.
• Experience with retrieval-augmented generation, vector databases, embeddings, semantic search, and document intelligence.
• Experience designing AI evaluation frameworks, including test datasets, quality metrics, human review loops, and model performance monitoring.
• Familiarity with enterprise AI governance, model risk management, compliance review, data privacy, and regulatory expectations in financial services.
• Experience in a forward-deployed, consulting, client engineering, post-sales engineering, or technical delivery role.
• Exposure to cloud platforms, secure APIs, authentication/authorisation, and enterprise integration patterns

Key Skills

Education

Any Graduate