We are an Applied AI Delivery & Research Team placed within the corporate sector for solving Employee Experience, HR, and Operations problems, it is a centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, data governance, and the development of artificial intelligence and machine learning (AI/ML)-based solutions.
As an Applied AI/ML Senior Associate within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. You will collaborate with various teams to design and develop data science solutions, maintaining a deep understanding of the business problem. Your responsibilities will include data wrangling, data analysis, and modeling. You will advise on optimal solutions and provide insights on challenger models. You will be involved in strategic projects across the firm, making a significant impact at a leading financial services firm. Your role will be pivotal in developing data-centric solutions that enhance the firm's bottom line.
Job responsibilities:
- Engaging with stakeholders and understanding business requirements.
- Developing AI/ML solutions to address impactful business needs
- Working with other team members to productionize end-to-end AI/ML solutions
- Engaging in research and development of innovative relevant solutions
- Documenting developed AI/ML models to stakeholders
- Coaching other AI/ML team members towards both personal and professional success
- Collaborating with other teams across the firm to attain the mission and vision of the team and the firm.
Required qualifications, capabilities, and skills:
- Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) and 3+ years of applied experience.
- Strong foundation in AI/ML and excellent problem-solving skills.
- Familiarity with LLMs and agentic frameworks, such as LangGraph and similar technologies.
- Experience in the application of AI/ML to a relevant field.
- Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised
- Strong experience in natural language processing (NLP) and its applications
- Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects
- Previous experience in working on Spark, Hive, and SQL.
Preferred qualifications, capabilities, and skills :
- Financial service background
- PhD in one of the above disciplines.
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
- Advanced degree in Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Operations Research or related analytical field and 3+ years applied experience
- Strong foundation in AI/ML and excellent problem-solving skills
- Familiarity with LLMs and agentic frameworks (e.g., LangGraph)
- Practical experience applying AI/ML to real-world problems
- Experience with supervised, unsupervised, and semi-supervised machine learning techniques
- Strong experience in natural language processing (NLP) and applications
- Proficient coding in Python and experience using ML libraries (TensorFlow, Keras, PyTorch, Scikit-learn, etc.)
- Experience working with Spark, Hive, and SQL
- Financial services industry background
- PhD in a relevant discipline
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 — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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