Job Description 

About the job 

The Finance Data and AI Office (DART) delivers trusted data, analytics, and AI enabled solutions across Finance, Risk, and Treasury. This role sits within the Automation, Analytics & AI pillar and focuses on building practical, scalable solutions that address real finance challenges end to end—from problem framing and solution design through deployment and adoption—including data governance and internal control capabilities that align to regulatory expectations and standards. 

Who we are looking for 

The ideal candidate combines analytical thinking with business curiosity and can apply emerging AI capabilities and low‑code/no‑code tools to build data solutions with tangible Finance outcomes—improving insight quality, controls, efficiency, and decision‑making. 

What you will be responsible for: 

Prompt Engineering & Context Design (Finance‑Grade) 

• Create and refine prompts grounded in finance context (e.g., P&L, cost centers, accounting rules, materiality thresholds) and structure outputs for decision‑making. 

• Build reusable prompt patterns, evaluation approaches, and guardrails to reduce hallucinations and increase consistency. 

Enable AI Using No‑Code / Low‑Code Platforms 

• Use no‑code and low‑code tools (e.g., Alteryx, Power BI, Power Platform or similar) to: 

• Operationalize AI outputs into finance workflows 

• Orchestrate AI‑driven steps alongside rules‑based logic 

• Surface AI‑generated insights, exceptions, and narratives to end users 

Responsible AI & Controls‑Aware Delivery 

• Ensure solutions are explainable, auditable, and aligned with governance expectations 

• Validate AI outputs against financial data and business logic; design monitoring to maintain quality over time. 

Apply Data Science Where It Matters 

• Use analytics and data science methods (e.g., anomaly detection, classification, forecasting support, explainability) to strengthen finance insight and controls. 

• Analyze large, complex datasets to identify breaks, drivers, trends, and actionable signals relevant to Finance operations and reporting. 

Skills and experience needed: 

• Bachelor’s degree in AI, Data Analytics, Computer Science, Engineering, or a related field. 

• 1-3 years of experience in emerging AI technologies, data science, analytics, automation (financial services preferred) 

• Strong analytical and problem‑solving skills 

• Proficiency in SQL and Python 

• Familiar with data warehousing, data modelling, ETL concepts 

• Exposure to automation tools (e.g., low‑code platforms, RPA, workflow tools). 

• Understanding of Finance, Risk and/or Treasury business processes 

• Knowledge of data governance, data quality, and regulatory compliance concepts (e.g., BCBS 239 principles) 

• Strong written and verbal communication skills 

Knowledge of the below tools is preferrable: 

• Microsoft Co-pilot Studio 

• Microsoft 365 Co-pilot 

• Databricks 

• Anthropic/Claude 

• Alteryx 

• Microsoft Fabric