Lead Data Scientist - Finance Technology

JPMorgan Chase is seeking a Lead Data Scientist to join their Finance Technology team to build and deliver cutting-edge AI/ML solutions that enhance finance processes. This role offers an exciting opportunity to drive significant business impact by tackling diverse challenges across multiple technologies and applications.

As a Lead Data Scientist, you'll be at the forefront of implementing advanced machine learning solutions, working with large-scale datasets and applying cutting-edge techniques including Deep Learning, NLP, and LLM. You'll be responsible for building production-grade ML models, conducting sophisticated data modeling experiments, and extracting valuable insights from both structured and unstructured data.

The role combines technical leadership with team management, as you'll be leading a global team of data scientists and engineers while collaborating closely with business stakeholders. Your expertise in Python, SQL, and statistical techniques will be essential in delivering innovative solutions that drive business value.

The position offers a competitive compensation package ranging from $142,500 to $210,000, along with comprehensive benefits including healthcare coverage, retirement plans, and professional development opportunities. Based in either Jersey City, NJ or Wilmington, DE, you'll be part of JPMorgan Chase's legacy of financial innovation while working on transformative AI/ML projects.

This role is perfect for an experienced data scientist who combines deep technical expertise with strong leadership abilities and a passion for applying cutting-edge AI/ML solutions to real-world financial challenges. You'll have the opportunity to shape the future of financial technology while working with a global team at one of the world's leading financial institutions.

Requirements include a Bachelor's degree in Computer Science or Data Science (or equivalent experience), 12+ years of data science experience, and expertise in machine learning techniques, LLM, and Gen AI. The ideal candidate will have strong communication skills, comfort with ambiguity, and a collaborative approach to problem-solving.