Join our dynamic Wholesale Credit Risk Quantitative Research team as a Gen AI Data Scientist, where you'll have the opportunity to revolutionize the credit risk process using cutting-edge Generative AI solutions. This role offers a unique chance to leverage the firm's extensive big data resources and make a significant impact on the financial industry.
As a Gen AI Data Scientist in the Wholesale Credit Risk Quantitative Research – Applied AI/ML team, you will play a pivotal role in developing Generative AI tools to enhance the End-to-End credit risk process across Wholesale. You will work closely with a team that thrives on innovation and is committed to improving risk monitoring capabilities through advanced data science techniques.
You will be responsible for developing and applying modern Machine Learning methodologies, including LLM and NLP techniques, to solve complex business problems. Your role involves creating risk strategies, analyzing structured and unstructured data, and leading the development of AI solutions based on macro-economic factors affecting the Wholesale portfolio.
The ideal candidate should have an advanced degree in an analytical field, deep understanding of Machine Learning with strong LLM/NLP expertise, and experience with tools like Python, Tensorflow, and SQL. We value excellent problem-solving abilities and strong communication skills.
JPMorgan Chase offers a competitive compensation package including base salary, commission-based pay, and comprehensive benefits including healthcare, retirement plans, and educational support. Join us to be part of a team that's shaping the future of financial risk management through innovative AI solutions.