Business Analyst – Ai Operations

Business Analyst – AI Operations Overview

• The Business Analyst – AI Operations will drive innovative AI solutions in operational workflows within a dynamic financial services environment.
• Collaborate with stakeholders to identify automation opportunities and implement AI-driven enhancements across trade lifecycle processes.
• Utilize tools like ChatGPT and Claude to design and maintain AI-powered workflows.
• Work in a hybrid environment, combining on-site collaboration with remote flexibility.
• Gain exposure to cutting-edge AI technologies and their application in financial operations.
• Contribute to a fast-paced, innovative team focused on enhancing productivity and reducing operational risks.
• Leverage your technical skills in Python and SQL to develop impactful solutions.
• Engage in professional growth opportunities within a leading financial organization.

Business Analyst – AI Operations Key Responsibilities & Duties

• Collaborate with Operations and Technology teams to map workflows and identify AI-driven automation opportunities.
• Develop and maintain lightweight automations using Python and SQL, integrating AI tools with internal systems.
• Prototype, pilot, and document AI-assisted processes for broader organizational adoption.
• Design and test prompts to enhance AI output quality and reliability.
• Monitor and troubleshoot AI-powered workflows, addressing issues promptly.
• Analyze operational workflows, including reconciliations, settlements, and reporting, to identify improvement areas.
• Translate business requirements into technical solutions, collaborating with Technology teams for implementation.
• Measure AI implementation impacts against operational KPIs and recommend controls to mitigate risks.
• Document processes and maintain playbooks to ensure repeatability and sustainability of solutions.

Business Analyst – AI Operations Job Requirements

• Bachelor's degree in a quantitative, technical, or business-related field preferred.
• 1–5 years of experience in operations within financial services, hedge funds, or asset management.
• Proficiency in Python and SQL for data manipulation and workflow automation.
• Hands-on experience with AI tools like ChatGPT or Claude for workflow automation.
• Strong analytical skills and attention to detail when handling sensitive financial data.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Preferred: Familiarity with APIs, automation frameworks, and fund operations processes.
• Preferred: Experience using modern LLMs to enhance business workflows.