Gazelle Global
Business Analyst - Audit
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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
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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.
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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.
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