JPMorgan Business Modeling - Natural Language Processing Applied AI ML Lead 

United States, New York, New York 

319634403

Job Responsibilities:

• Work in a product-oriented work operating model where design, product management, data science, and engineering work side-by-side in delivering products for customer services.
• Apply deep natural language processing (NLP) knowledge and experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
• Generate deep insights through the analysis of data and understanding of the bank’s operations that are both external and internal facing and turn them into actionable recommendations.
• Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
• Act as a subject matter expert and trusted advisor in system development, computer algorithms, NLP and machine learning.
• Coach and mentor junior team members and help develop their technical, business, and communication skills

Required qualifications, capabilities, and skills:

• Advanced degree in Computer Science with concentration in Artificial Intelligence; Advanced programming skills of 8+ years (research/PhD + industrial) on more than 1 programming language
• Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
• Experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
• Quickly learn programming in another programming language and seamlessly.
• Strong analytical, interpretive, and problem-solving skills, with demonstrated ability of thinking outside the box.

Preferred qualifications, capabilities, and skills:

• Ph.D. in Computer Science with concentration in Artificial Intelligence, prefer training and work experience in NLP.
• Extensive experience with big-data environments (e.g. Hadoop, Spark) and code development experience on a cloud development platform.
• Programming languages as such, Spark, Python, Scala, Java are preferred.