Drive impactful AI automation projects in a dynamic financial environment. Collaborate with cross-functional teams to enhance operational efficiency. Leverage cutting-edge AI tools to streamline workflows and reduce risks.
Business Analyst – Ai Operations
in Information Technology PermanentJob Detail
Job Description
Business Analyst – AI Operations Overview
- The Business Analyst – AI Operations will identify and implement AI-driven solutions to enhance operational efficiency and reduce risks.
- Collaborate with Operations, Trade Support, and Technology teams to analyze workflows and propose AI-based improvements.
- Design, build, and maintain automations and scripts using Python and SQL for AI integration.
- Prototype and pilot AI-assisted processes, ensuring successful adoption and documentation.
- Monitor and troubleshoot AI-powered tools, escalating issues as necessary.
- Measure the impact of AI implementations against operational KPIs and recommend controls.
- Stay updated on new AI capabilities and vendor releases relevant to operational use cases.
Business Analyst – AI Operations Key Responsibilities & Duties
- Partner with stakeholders to map workflows and identify AI automation opportunities.
- Develop and maintain scripts and automations connecting AI tools to internal systems.
- Support prompt design, testing, and iteration to enhance AI output quality.
- Analyze operational workflows across trade lifecycle and reporting processes.
- Gather and translate business requirements into technical solutions.
- Assist in testing, user acceptance, and rollout of new operational tools.
- Document processes and decisions to ensure maintainable solutions.
Business Analyst – AI Operations Job Requirements
- 1–5 years of experience in operations within financial services or similar industries.
- Proficiency in SQL and Python for data manipulation and automation.
- Hands-on experience with AI tools like Claude and ChatGPT for workflow automation.
- Bachelor's degree in a quantitative, technical, or business-related field preferred.
- Strong attention to detail and ability to work with sensitive data.
- Preferred: Familiarity with APIs, automation frameworks, and fund operations processes.
- Preferred: Experience using modern LLMs to improve business workflows.
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