AI Senior Research Analyst

Role Overview: You are an AI Enablement Analyst responsible for integrating Generative AI (Gen AI) and automation into fixed income research workflows. Your role involves contributing to essential fixed income processes and bridging the gap between business and technology to deliver impactful and innovative solutions. Your foundational experience in both AI technologies and fixed income research will be crucial for the success of this role. Key Responsibilities: - Contribute to core fixed income activities including debt instrument valuations, yield curve construction, market polling, trade data analysis, reporting, and application support. - Identify and evaluate opportunities within fixed income business (bonds, yields, duration, credit risk, portfolio analytics, etc.) where Gen AI can enhance efficiency, insights, or automation. - Design and implement Gen AI-powered workflows such as prompt engineering, copilots, and business process automation. - Translate business requirements into AI-ready problem statements, structuring inputs for optimal use with LLMs. - Apply foundational Gen AI concepts (LLMs, prompt design, embeddings, RAG, guardrails) to develop practical, business-aligned solutions. - Collaborate with technology and data teams to build, test, deploy, and refine AI solutions. - Create and maintain prompt libraries, reusable templates, and standardized Gen AI workflows for scalability. - Perform quality assurance and validation of AI outputs using domain understanding of financial data and fixed income processes. - Leverage tools like Microsoft Copilot or similar platforms to prototype and deploy business solutions. - Support data preparation and structuring needed for AI applications to ensure usability and consistency. - Continuously monitor solution performance and optimize workflows for accuracy, efficiency, and business impact. - Stay updated on the latest Gen AI trends, tools, and best practices, evaluating their relevance for financial services. - Build awareness and drive adoption of Gen AI capabilities within business teams through demos, training, and documentation. - Ensure responsible and compliant use of AI, including considerations for data privacy, governance, and risk. - Act as a bridge between business and technology, ensuring clear communication and alignment of solutions. - Demonstrate curiosity and an experimentation mindset to explore new AI use cases and innovation opportunities. Qualifications Required: - Bachelors or Masters degree in Finance, Economics, Data Science, Engineering, or related field. - 2-4 years of experience in fixed income research, analytics, or financial services. - Strong understanding of fixed income instruments, financial statements, ratio analysis, and proven analytical inclination. - Hands-on experience with Gen AI tools and familiarity with platforms like Microsoft Copilot, ChatGPT, Python, VBA, and MS Office. - Experience collaborating with technology and data teams on solution development and deployment. - Excellent oral, written, and presentation skills, coupled with demonstrated curiosity, innovation, and problem-solving abilities. Role Overview: You are an AI Enablement Analyst responsible for integrating Generative AI (Gen AI) and automation into fixed income research workflows. Your role involves contributing to essential fixed income processes and bridging the gap between business and technology to deliver impactful and innovative solutions. Your foundational experience in both AI technologies and fixed income research will be crucial for the success of this role. Key Responsibilities: - Contribute to core fixed income activities including debt instrument valuations, yield curve construction, market polling, trade data analysis, reporting, and application support. - Identify and evaluate opportunities within fixed income business (bonds, yields, duration, credit risk, portfolio analytics, etc.) where Gen AI can enhance efficiency, insights, or automation. - Design and implement Gen AI-powered workflows such as prompt engineering, copilots, and business process automation. - Translate business requirements into AI-ready problem statements, structuring inputs for optimal use with LLMs. - Apply foundational Gen AI concepts (LLMs, prompt design, embeddings, RAG, guardrails) to develop practical, business-aligned solutions. - Collaborate with technology and data teams to build, test, deploy, and refine AI solutions. - Create and maintain prompt libraries, reusable templates, and standardized Gen AI workflows for scalability. - Perform quality assurance and validation of AI outputs using domain understanding of financial data and fixed income processes. - Leverage tools like Microsoft Copilot or similar platforms to prototype and deploy business solutions. - Support data preparation and structuring needed for AI applications to ensure usability and consistency. - Continuously monitor solution performance and optimize workflows for accuracy,