Responsibilities
1. Understand emerging AI/ML technologies (especially around LLMs) and rapidly prototype innovative solutions forplex data analysis challenges within the financial services sector.
2. 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.
3. 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.
4. Develop basic user interfaces and human-in-the-loop systems for interacting withplex analytical outputs. This will be coupled with the implementation ofprehensive audit trails, logging, and monitoring solutions to ensure system transparency, reliability, and performance.
5. 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
6. Currently pursuing a Master's degree inputer Science, Software Engineering, AI/Machine Learning, or a related STEM field. Understanding of financial services industry would be beneficial.
7. Strong programming proficiency, particularly in Python and experience with relevant libraries (, PyTorch, TensorFlow, FastAPI, Hugging Face Transformers, Langchain).
8. 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.
9. Understanding of API integration (REST) and web technologies; experience with web scraping libraries is beneficial.
10. Knowledge of database technologies (SQL, NoSQL) and data modeling.
11. Familiarity with version control systems (esp. Git) and software development best practices.
12. Experience with or keen interest in UI/UX development (, Streamlit, Dash, or basic frontend frameworks like React/Vue/Angular).
13. Strong problem-solving, analytical, and system design skills with a meticulous attention to detail.
14. Excellent written and verbalmunication skills in English. French or German is an advantage.
15. A genuine interest in the intersection of advanced technology and financial services, particularly in areas like financial crimepliance, KYC/CDD, or risk management.
What's in it for you
Here at EY, you'll have the chance to build a truly exceptional experience. We'll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you'll develop the skills you need to stay relevant today and, in the future, - all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.
Click here to find out more about our benefits and corporate social responsibility. Are you ready to shape your future with confidence? Apply today.
To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or amodations you may need.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Make the next step and apply for this position online. For further information please contact our recruitment team ( recruitment.switzerland@ey / +41 58 286 33 66).
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
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Job ID 1574457