Business Analyst - Audit

The Role The Business Analyst in the Innovation & Deployment team within Audit Technology bridges the gap between audit stakeholders and the AI/ML development teams, ensuring that business needs are clearly defined and appropriately translated into functional AI/ML product requirements. This role supports the delivery of intelligent automation and data-driven audit solutions by guiding scope, feasibility, and value realization. Your responsibilities: • Have a clear value proposition, strategy, and roadmap for the product/family of products • Engage with audit professionals, data scientists, and product managers to elicit, document, and refine solution requirements. • Translate complex business use cases into structured feature requests, user stories, and success criteria for teams. • Support discovery and feasibility assessment of technology-enhanced (particularly AI-driven) opportunities in audit processes, identifying relevant data sources and success metrics. • Collaborate with engineers to ensure solution design aligns with audit goals, operational realities, and compliance standards. • Facilitate user testing, training, and feedback loops to support model evaluation and continuous improvement. • Monitor adoption, performance, and value of solutions through dashboards and stakeholder engagement. • Contribute to the responsible AI governance process by ensuring business understanding of explainability, risk, and fairness. • Have a robust and cost-effective support model in place • Act as a bridge between engineering teams and stakeholder groups, ensuring technical design and build standards are met alongside meeting business and stakeholder requirements Your Profile • Audit Product Lifecycle and domain experience is essential • Strong business acumen (e.g. understanding business strategy, commercial thinking, portfolio prioritisation) • Experience as a business analyst or product analyst, with experience in AI, machine learning, or advanced analytics projects. • Understanding of machine learning lifecycle and ability to communicate model requirements and outputs in business terms. • Strong documentation, communication, and stakeholder engagement skills. • Familiarity with audit, risk, or professional services environments is a plus. • Experience with Agile methodologies and product development lifecycle. • Significant knowledge of automation / technology landscape to manage business processes • Ability to design user centric solutions, which respond to user needs • Bachelor’s or Master’s degree in Business, AI/ML, Analytics, Data Science, or a related field; Business Analysis certifications (such as IIBA) strongly preferred. Desirable skills/knowledge/experience: • Experience in the Audit field would be an advantage mainly in areas like Awareness of UK Audit regulations; Asset Management; Accreditation process, Data-driven Insights etc.