Join J.P. Morgan’s Global Research Center and help modernize research through applied AI, machine learning and data science, delivering innovative solutions that enhance research methodologies, workflows and outputs.
As an Applied AI and Data Science Specialist within the Global Research Modernization team, you will be responsible for developing and implementing AI and data science solutions that enhance research methodologies and outputs. You will translate business problems into deployable data science solutions using Python, machine learning and Large Language Models (LLMs). You will collaborate with research analysts and stakeholders to identify opportunities for data-driven insights and workflow automation. You will support solutions from data exploration and model development through validation and deployment. You will ensure solutions adhere to appropriate data integrity, regulatory and model governance standards.
Job Responsibilities
- 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.
Required Qualifications, Skills and Capabilities
- 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, Skills and Capabilities
- 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.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We 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.
Skills Required
- 1-5 years of experience working with AI and data science in the financial sector
- Strong knowledge of data science, artificial intelligence, and machine learning concepts
- Strong proficiency in Python
- Hands-on experience with Pandas and NumPy
- Knowledge of model development, validation, and evaluation techniques
- Understanding of supervised and unsupervised learning, deep learning, and natural language processing
- 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 and disciplined approach to processes and controls
- Experience applying Large Language Models 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
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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