Data & AI, Valuation & Modeling Manager- Capital Markets or Investment Industry.
Location: Riyadh, Saudi Arabia
The Work
As a Data & AI Strategy Manager, you will shape the vision and create opportunities for Data & AI led business reinvention within the Banking & Capital Markets industry. In this role you will:
Define and structure an organization's data and AI strategy to build and optimize data assets, AI technologies for growth & competitive advantages.
Assess maturity of an organization's data and AI foundation.
Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, data strategy and future-ready operating model.
Create the business case, investment profile and roadmap to deliver on the strategy.
Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.
Identify people, processes, and technologies to develop and operationalize AI solutions.
Create strategy for AI-first products and develop commercialization opportunities.
Drive data & AI agenda for Banking & Capital Markets clients.
Lead small to medium sized teams with diverse backgrounds skills and knowledge.
Effectively manage and coach others, collaborating with internal and external parties.
Support client sales origination and thought leadership development.
Qualification
Here’s what you need:
Minimum 5 years of experience in professional services / management consulting.
Minimum of 3 years of experience in AI, Valuation & Modeling analytics and AI within Capital Markets and Banking.
Solid understanding of AI technologies, including how models work, their applications in investment workflows, and the ability to identify and implement AI-driven use cases to enhance decision-making and operational efficiency.
Experience in capital markets or exposure to the investment industry.
Experience designing the organization of systems that incorporate artificial intelligence techniques and capabilities and creating frameworks and structures to enable the development and deployment of AI applications.
Experience with developing and deploying data lineage and data quality capabilities.
Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Econometrics, Economics, Engineering, or Quantitative Finance.
Next Steps
If this sounds like the ideal role, career and company for you, click below to apply.
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