Design and implement generative AI solutions for investment banking using Azure OpenAI and RAG. Develop AI models, prototypes, and proof-of-concepts; integrate APIs; collaborate with AI, data science, and banking teams; and ensure compliance with security, privacy, and regulatory requirements. The role also requires communicating technical concepts to non-technical stakeholders and staying current with advances in generative AI.
Key Responsibilities:
- Design,
develop, and implement Generative AI solutions tailored to investment
banking needs.
- Utilize
Microsoft Azure OpenAI services to build and optimize AI models.
- Apply
RAG techniques to improve information retrieval and decision-making
processes.
- Collaborate
with cross-functional teams including AI, data science, and investment
banking divisions.
- Develop
prototypes and proof-of-concept models for internal stakeholders.
- Ensure
compliance with data security, privacy policies, and industry
regulations.
- Stay
updated with the latest trends and advancements in AI, especially related
to RAG and Azure OpenAI.
Requirements
Qualifications:
- Proven
experience in investment banking or financial services.
- Extensive
hands-on experience with Microsoft Azure OpenAI services.
- Strong
understanding and practical experience with Retrieval-Augmented Generation
(RAG).
- Proficiency
in programming languages such as Python.
- Knowledge
of AI model deployment and API integration.
- Excellent
problem-solving skills and ability to work in a fast-paced
environment.
- Strong
communication skills and ability to convey technical concepts to
non-technical stakeholders.
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