Technical practice
Defining KPIs for Agentic AI Initiatives
What to coverExplain how you would measure the success of an autonomous agent in a finance function. Focus on metrics beyond simple accuracy, such as process latency, error rates in decision-making, and the cost-benefit ratio compared to manual processes.
Multi-Agent System Architecture
What to coverDescribe your understanding of multi-agent systems and how they differ from traditional automation. Discuss how you would design a workflow where multiple agents interact to solve a complex financial task, such as automated reconciliation or reporting.
Translating Business Requirements for AI Projects
What to coverHow do you bridge the gap between non-technical finance stakeholders and technical development teams? Suggestion: Emphasize your process for creating clear user stories and acceptance criteria that account for the probabilistic nature of AI outputs.
Data Visualization in Financial Advisory
What to coverDiscuss your approach to using Power BI and Power Query to present complex financial data. Focus on how you ensure data integrity and how you tailor dashboards to provide actionable insights for executive-level decision-making.
Managing AI Project Lifecycle
What to coverOutline the key phases of an AI project lifecycle from discovery to deployment. Highlight how you handle the unique challenges of AI, such as model validation, testing for bias, and ensuring reliability in a regulated financial environment.
Process Optimization via No-Code Platforms
What to coverProvide an example of how you have used or would use no-code platforms to simplify finance operations. Discuss the trade-offs between speed of implementation and long-term scalability or maintenance.
AI Coding Assistants in Development
What to coverIf you have experience with AI coding assistants, explain how they impact the productivity and quality of the development lifecycle. Discuss how you maintain oversight and security when integrating these tools into a professional services environment.
Handling Ambiguity in Innovation Projects
What to coverHow do you approach requirements gathering when the technology or the business problem is not clearly defined? Suggestion: Focus on iterative prototyping, stakeholder feedback loops, and maintaining a focus on business value over technical complexity.
Behavioural practice
Managing Stakeholder Expectations
What to coverDescribe a time you had to manage expectations for a project with high ambiguity or evolving requirements. Use the STAR method to explain how you communicated progress and kept stakeholders aligned with the project goals.
Driving Change Management
What to coverGive an example of a situation where you introduced a new technology or process to a team resistant to change. Detail the steps you took to facilitate workshops or training to ensure successful adoption.
Collaborating Across Functional Teams
What to coverTell me about a time you worked closely with architects or product managers to deliver a solution. Focus on how you resolved technical disagreements and ensured the final product met the client's business needs.
Problem Solving in Financial Services
What to coverDescribe a complex business problem you solved within a financial institution. Explain your analytical approach, the specific data or insights you leveraged, and the measurable impact your solution had on the finance function.