Pierre Titeux

Over the past 9 months, I have worked as a freelance AI consultant, developing AI-driven use cases for the finance and banking sector. My work has focused on building solutions powered by LLM APIs and agent-based architectures, helping financial institutions automate complex knowledge workflows, improve operational efficiency, and accelerate business processes.

Designed and developed AI agents capable of assisting with legal document analysis, contract review, regulatory interpretation, and internal knowledge retrieval. These solutions help teams reduce manual review time, improve consistency, and access relevant legal or compliance information faster.

Built AI-powered workflows for trade finance operations, including document analysis, transaction support, information extraction, and process automation. These agents support use cases such as reviewing letters of credit, identifying missing or inconsistent information, and assisting operational teams with complex documentation-heavy processes.

Developed AI solutions to support marketing, sales, and proposal teams in responding to RFPs, generating tailored content, analyzing client requirements, and reusing institutional knowledge. These tools help improve response quality, reduce turnaround time, and support more consistent communication with clients.

Implemented solutions using large language model APIs, prompt engineering, retrieval-augmented generation, and multi-step agent workflows. This included designing task-specific agents, integrating them with business data sources, and adapting outputs to the standards required in finance and banking environments.

Senior AI & Data Science Lead — Wholesale Banking (Global)

I led high-performing, distributed data science teams across Paris, Hong Kong and India, delivering over 100 end-to-production AI & analytics use cases for wholesale banking (global finance, capital markets, payments, investor services). I generate significant business value, enabling several million € of net banking income and operational efficiency gains annually. My strengths lie in combining technical depth (machine learning, data pipelines, deployment, monitoring) with robust stakeholder alignment, governance, scalability and global execution.

Department in charge of the sponsoring and designing of IT projects specifically for the Global Finance activities of SGCIB, Process optimisation, operational risk monitoring and implementation of new financial products.