Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning

Applied Ai Ml Senior Associate In Machine Learning Center Of Excellence

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community.

We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Machine Learning and Econometrics with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.

Job Responsibilities

• Research and explore new machine learning methods
• Develop state-of-the-art machine learning models
• Collaborate with multiple partner teams
• Drive firm wide initiatives

Required Qualifications, Capabilities, and Skills

• PhD in a quantitative discipline
• Ability to conduct literature research
• Hands-on experience and solid understanding of machine learning and deep learning methods
• Extensive experience with machine learning and deep learning toolkits
• Ability to design experiments and training frameworks
• Experience with big data and scalable model training
• Scientific thinking with the ability to invent
• Solid written and spoken communication
• Curious, hardworking and detail-oriented

Preferred Qualifications, Capabilities, and Skills

• Strong background in Mathematics and Statistics
• Solid knowledge in financial reports analysis
• Ability to develop and debug production-quality code
• Published research in areas of Machine Learning/Deep Learning/Reinforcement Learning OR Finance/Accounting