Business Analyst - Operations & AI

About the role

Verition Fund Management is a global multi-strategy hedge fund with expertise across equity, fixed income, and derivatives markets. Our US offices sit at the center of our operations, supporting a broad range of investment strategies across global markets.

Key responsibilities

• Partner with Operations, Trade Support, and Technology stakeholders to map existing workflows and identify opportunities for AI-driven automation.
• Design, build, and maintain lightweight automations and scripts (Python, SQL) connecting AI tools to internal data and systems.
• Prototype and pilot new AI-assisted processes, then document and hand off successful ones for broader adoption.
• Write and maintain SQL queries to pull, clean, and validate data supporting AI implementations.
• Support prompt design, testing, and iteration to improve output quality and reliability.
• Monitor and troubleshoot existing AI-powered tools and workflows, escalating issues as needed.
• Analyze operational workflows across the trade lifecycle, reconciliations, settlements, confirmations, corporate actions, and reporting.
• Gather business requirements from Operations and translate them into technical solutions, partnering with Technology on implementation.
• Assist with testing, UAT, and rollout of new operational tools.
• Measure the impact of AI implementations against operational KPIs, identify risks introduced by automation, and recommend controls.
• Track implementation progress and communicate status across Operations, Technology, and business stakeholders.
• Document processes, decisions, and playbooks so solutions are repeatable and maintainable.
• Stay current on new AI capabilities and vendor releases relevant to operations use cases.

Requirements

• 1-5 years of experience in an operations role at a hedge fund, asset manager, or similar financial services firm.
• Working proficiency in SQL and Python.
• Hands-on experience using Claude and/or ChatGPT for real work — prompt design, workflow automation, or similar (not just casual use).
• Strong attention to detail and comfort working with sensitive financial/operational data.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Self-starter mindset, comfortable identifying problems and proposing solutions.
• Bachelor's degree in a quantitative, technical, or business-related field preferred but not required.
• PREFERRED: Exposure to APIs, automation frameworks, or scripting for data pipelines.
• PREFERRED: Familiarity with fund operations processes (reconciliation, trade support, reporting).
• PREFERRED: Experience using modern LLMs (ChatGPT, Claude, Gemini, GitHub Copilot, etc.) to improve business workflows.