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  "job_description": "Job Description\n\nThe 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.\n\nAs an AI Research Senior Associate in J.P. Morgan AI Research, you will work on novel techniques, tools, and frameworks to model and solve complex large-scale problems, collaborating with experts in various technical and business disciplines, contributing to high-impact business applications at the cutting edge of AI.\n\nJob Responsibilities\n• Work on multiple commercially-orientated research projects in collaboration with internal data scientists, applied engineering teams and business stakeholders\n• Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build innovative solutions, and communicate research significance\n• Contribute to high-impact business applications, open-source software, and patents\n• Develop state-of-the art machine learning models to solve real-world problems at scale\n\nRequired Qualifications, Capabilities, And Skills\n• PhD in Computer Science, Engineering, or related fields\n• Programming skills in Python\n• Proficient understanding of fundamental AI and ML techniques\n• Practical experience with statistical data analysis and experimental design\n• Curiosity, creativity, resourcefulness, and a collaborative spirit\n• Effective verbal and written communication skills with technical and business audiences\n• Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds\n• Interest in problems related to the financial services domain\n\nPreferred Qualifications, Capabilities, And Skills\n• Research publications in prominent AI/ML, Software Engineering venues (e.g., conferences, journals)\n• Practical experience with ML platforms such as TensorFlow/Keras, PyTorch\n• Comfort with rapid prototyping and disciplined software development processes\n• Practical software engineering experience in collaborative project settings\n\nABOUT US\n\nJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.\n\nWe recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.\n\nAbout The Team\n\nOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.",
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