AI Expert in Finance & Risk

Capgemini is a global leader partnering with companies to transform and manage their business by harnessing technology. The company has over 360,000 team members globally in more than 50 countries and specializes in cloud, data, AI, connectivity, software, digital engineering, and platforms. They serve clients across various industries with a focus on inclusivity and sustainability.

• MSc or PhD in Finance, Mathematics, Data Science, or a related quantitative/technical field.
• Strong experience in AI model development and deployment, ideally in the banking or insurance industry.
• Proficient in Python and SQL.
• AI expertise in LLMs, prompt engineering, reinforcement learning, and model fine-tuning.
• Proven track record in data engineering using tools like Databricks and Spark.
• Familiarity with finance workflows such as risk modeling, valuation, forecasting, regulatory compliance, and fraud detection.
• Experience with at least one major cloud platform including Azure, AWS, or GCP.

Nice to have:

• Experience with Java or Scala.
• Knowledge of infrastructure and automation tools such as Terraform, Ansible, GitHub Actions, and container orchestration platforms like RedHat OpenShift.

• Lead AI initiatives in the Finance & Risk data domain, ensuring best practices and scalability.
• Introduce and implement modern AI solutions, including generative AI and LLM-based workflows for finance.
• Analyze existing AI solutions from other areas and identify reusable components for current projects.
• Design and optimize data pipelines for AI training and inference, collaborating with finance SMEs.
• Evaluate and improve model performance, ensuring accuracy, compliance, and iterative enhancements.
• Train teams on AI-enabled tools and contribute to documentation and thought leadership.