Description: 

The AI Financial Analyst focuses on assessing the financial impact and ROI of AI initiatives. They analyze the cost, revenue, and financial benefits of implementing AI solutions and help businesses understand the financial implications of their AI investments. They will also provide insights on funding, budgeting, and financial models for AI projects.

• Mission: 3 months (renewable for the duration of the project).
• Location: Rabat/Casablanca, Morocco.
• Start Date: ASAP.
• Language: Fluent English required (CVs must be submitted in English).
• Work Mode: Hybrid (mix of on-site and remote work).

Key Responsibilities:

• Develop financial models to assess the cost and potential returns on AI investments.
• Conduct cost-benefit analysis for AI-driven projects and initiatives.
• Provide insights into AI project pricing, budgeting, and funding options.
• Evaluate financial risks associated with AI investments and develop mitigation strategies.
• Work closely with the AI Strategy Expert and leadership to prioritize AI projects based on financial feasibility and value.

Skills Needed:

• Financial Analysis: Strong skills in financial modeling, budgeting, and forecasting, with a focus on AI-related investments. Experience in ROI modeling for technology investments, particularly in AI and Data.
• AI Cost-Benefit Analysis: Ability to assess the potential financial benefits and costs of AI solutions, including long-term ROI. Understanding of AI project cost structures, including cloud services, talent, and tools.
• Data Analytics: Proficiency in data analysis tools (Excel, Python, R, Tableau, PowerBI,…) to assess financial data and AI project metrics.
• Understanding of AI and Data Economics: Knowledge of how AI impacts operational costs, resource allocation, and overall business economics.
• Risk Management: Ability to assess financial and operational risks related to AI investments.
• Reporting and Presentation: Ability to present complex financial information clearly to both technical and business stakeholders, and to translate it into actionable insights.
• Regulatory Compliance Knowledge: Understanding of financial regulations and compliance issues as they pertain to AI projects.