We’re building the AI‑native, data‑driven future of HR at a leading global financial institution. With 300,000+ employees across 60+ countries, our AI team in HR Data and Analytics develops research and production solutions that help leaders make smarter, evidence‑based decisions—shaping how our global workforce operates.
As a Sr. Associate – Applied AI/ML in HR Data and Analytics, you apply quantitative, data science, and analytical skills to complex workforce challenges. You partner with domain experts and cross‑functional teams to design, develop, and scale AI/ML solutions from foundational research through production deployment. Your work drives strategic initiatives that shape the firm’s business and the employee experience at scale, with opportunities for personal and professional growth on a world‑class data science team.
Job responsibilities
- Engage with stakeholders to identify and define business needs and opportunities, and design technical solutions to address them.
- Partner with product managers, engineers, and functional experts across the end‑to‑end AI/ML lifecycle—conception, validation, scaling, production delivery, and performance monitoring.
- Perform AI model evaluations and monitoring; develop structured verification systems to ensure accuracy, safety, and reliability.
- Conduct research that advances the technical foundations of AI and data science capabilities.
- Collaborate with teams across the firm to advance mission and vision.
Required qualifications, capabilities, and skills
- Advanced degree (master’s or higher) in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or a related quantitative discipline.
- 2+ years of experience developing and deploying AI/ML solutions with hands‑on coding and end‑to‑end solution design.
- Strong programming skills in Python; including experience with libraries such as TensorFlow, PyTorch, Keras, or scikit‑learn.
- Demonstrated expertise in machine learning techniques (supervised, unsupervised, semi‑supervised), natural language processing (NLP), generative AI, or computer vision.
- Practical experience with Large Language Models (LLMs), including fine‑tuning, prompt and context engineering, and RAG pipelines.
- Understanding of agentic AI systems and their design principles.
- Demonstrate strong analytical and problem‑solving skills; thrive in cross‑functional, collaborative team environments.
Preferred qualifications, capabilities, and skills
- Hold a PhD in a relevant discipline.
- Experience in the financial services industry.
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About UsWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Master's degree or higher in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or a related quantitative discipline
- 2+ years of experience developing and deploying AI/ML solutions with hands-on coding and end-to-end solution design
- Strong programming skills in Python
- Experience with TensorFlow, PyTorch, Keras, or scikit-learn
- Expertise in supervised, unsupervised, or semi-supervised machine learning, natural language processing, generative AI, or computer vision
- Practical experience with large language models, including fine-tuning, prompt and context engineering, and RAG pipelines
- Understanding of agentic AI systems and their design principles
- Strong analytical and problem-solving skills
- Ability to thrive in cross-functional, collaborative team environments
- PhD in a relevant discipline
- Experience in the financial services industry
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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