Intern - Generative AI & Financial Crime Technology(m/w/x)

# Intern - Generative AI & Financial Crime Technology Geneva or Zurich Location: Grand-Lancy / Geneva Other locations: Primary Location Only Salary: Competitive Date: Feb 12, 2025 ## Job description Requisition ID: 1574457 Kick-start a purposeful career and join our unique Forensics & Integrity Services team to implement cutting-edge AI solutions combatting financial crime! **The Opportunity: Your Next Adventure Awaits** Forensics & Integrity Services team is seeking highly motivated interns to pioneer the development of innovative solutions leveraging Large Language Models (LLMs) for enhanced due diligence and financial crime prevention. This is a unique opportunity to take ownership of a greenfield project, diving deep into the full development lifecycle. You will be instrumental in building a tool that processes diverse data sources to identify and assess risks, directly contributing to the integrity of the financial services industry. **What We Look For** * **You have an** **agile, growth-oriented mindset**. What you know matters. But your ability to rapidly learn, adapt, and design solutions in a fast-evolving tech landscape is paramount. We’re looking for innovators who thrive on challenges. * **You are curious and purpose-driven**. We’re looking for individuals who see opportunities instead of challenges, who ask better questions to seek better answers. * **You are inclusive**. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust. **Your Key Responsibilities** * Understand emerging AI/ML technologies (especially around LLMs) and rapidly prototype innovative solutions for complex data analysis challenges within the financial services sector. * Implement scalable and modular data processing frameworks. These frameworks will be designed to ingest and analyze large volumes of diverse, multi-lingual datasets (both structured and unstructured) from various internal systems, financial platforms, and external data providers. * Integrate advanced analytical algorithms and GenAI models. This involves developing capabilities for tasks such as pattern recognition, risk quantification, and anomaly detection, ensuring the generation of actionable insights. * Develop basic user interfaces and human-in-the-loop systems for interacting with complex analytical outputs. This will be coupled with the implementation of comprehensive audit trails, logging, and monitoring solutions to ensure system transparency, reliability, and performance. * Contribute to the entire development lifecycle, including active participation in requirements refinement, system design, rigorous automated testing, defining deployment approaches, and creating documentation for these pioneering tools. **Skills and Attributes for Success** * Currently pursuing a Master's degree in Computer Science, Software Engineering, AI/Machine Learning, or a related STEM field. Understanding of financial services industry would be beneficial. * Strong programming proficiency, particularly in Python and experience with relevant libraries (e.g., PyTorch, TensorFlow, FastAPI, Hugging Face Transformers, Langchain). * Demonstrable experience in Generative AI, NLP, LLMs and an understanding of Transformer architectures. Experience with deep learning model training is a plus. Any programmatic experience with the following LLM aspects is a strong plus: RAG, Agents Orchestration, Multi-Modality, Few-Shot Prompting, Function Calling, Structured Output, Embeddings. * Understanding of API integration (REST) and web technologies; experience with web scraping libraries is beneficial. * Knowledge of database technologies (SQL, NoSQL) and data modeling. * Familiarity with version control systems (esp. Git) and software development best practices. * Experience with or keen interest in UI/UX development (e.g., Streamlit, Dash, or basic frontend frameworks like React/Vue/Angular). * Strong problem-solving, analytical, and system design skills with a meticulous attention to detail. * Excellent written and verbal communication skills in English. French or German is an advantage. * A genuine interest in the intersection of advanced technology and financial services, particularly in areas like financial crime compliance, KYC/CDD, or risk management.