Applied AI and Data Science Specialist – Global Research Modernization
JPMorgan Chase · Posted Oct 28
Global banking, investment, credit card, mortgage, and asset management services
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About the role
J.P. Morgan’s Global Research Center is modernizing research through applied AI, machine learning and data science. The Global Research Modernization team delivers solutions that enhance research methodologies, workflows and outputs. This role develops and implements AI and data science solutions using Python, machine learning and Large Language Models, collaborating with research analysts and stakeholders from data exploration through validation and deployment.
What you will do
- Develop applied data science solutions using Python, from problem framing and data exploration through model development, validation and deployment.
- Implement AI and data science strategies to enhance research methodologies and outputs.
- Automate workflows for global research teams using AI techniques, including Large Language Models (LLMs).
- Collaborate with research analysts and stakeholders to identify opportunities for data-driven insights and automation.
- Ensure the integrity, accuracy and accessibility of data used for analysis and model development.
- Evaluate emerging AI and data science technologies for potential application within research.
- Communicate analytical concepts, model outputs and insights effectively to stakeholders.
- Adhere to regulatory, ethical, data-use and model governance standards.
Skills used in this role
What the employer is looking for
- 1-5 years of experience working with AI and data science in the financial sector.
- Strong hands-on knowledge of data science, artificial intelligence and machine learning concepts.
- Strong proficiency in Python, with hands-on experience using data manipulation libraries including Pandas and NumPy.
- Knowledge of model development, validation and evaluation techniques.
- Understanding of supervised and unsupervised learning, deep learning and natural language processing.
- Demonstrated ability to translate business problems into practical data science solutions.
- Bachelor’s degree or higher in Engineering, Data Science or a related field.
- Excellent communication, presentation, interpersonal and organizational skills.
- Strong attention to detail with a disciplined approach to processes and controls.
Preferred qualifications
- Experience applying Large Language Models (LLMs) to research or workflow automation.
- Experience developing and deploying data science solutions in batch or real-time environments.
- Knowledge of financial data and financial research methodologies.
- Experience with feature engineering and production deployment of machine learning models.
- Familiarity with emerging AI technologies and their application to research workflows.
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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