Overview We are seeking a highly analytical and technically strong trader with deep expertise in prediction markets and real-time modeling. The ideal candidate combines strong trading intuition, robust statistical and programming skills, and the ability to
Overview Susquehanna is one of the world’s leading options market makers, providing liquidity across global financial markets through cutting-edge technology, quantitative research, and deep trading expertise. We are looking for an experienced Quantitative Data Engineer to
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sectors Enterprise Technology team,
Key Responsibilities Model Development: Design and develop machine learning models to drive impactful fraud modeling, covering the entire customer lifecycle, including acquisition, account management, transaction authorization, and collections. Advanced Machine Learning Techniques: Apply state-of-the-art machine learning
Job Title We are seeking a highly analytical and technically strong trader with deep expertise in prediction markets and real-time modeling. Job Responsibilities Design and develop complex models to generate real-time fair values for intricate, uncertain
Role: AWS Data Scientist with (AI/ML, Python) Full-Time in PA Location: Malvern, PA (Onsite/Hybrid) Job Type: Full-Time About the Role Client is seeking an experienced AWS Data Scientist with strong expertise in Artificial Intelligence (AI), Machine Learning
DESCRIPTION: Duties: Develop artificial intelligence and machine learning (AI/ML)-based solutions that drive key credit decisions in the risk management process. Work on strategic, highly visible machine learning projects and interact with business strategy, model governance, data
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sectors Enterprise Technology team,
Key Responsibilities Model Development: Design and develop machine learning models to drive impactful fraud modeling, covering the entire customer lifecycle, including acquisition, account management, transaction authorization, and collections. Advanced Machine Learning Techniques: Apply state-of-the-art machine learning