Shape the future of software delivery by building applied artificial intelligence solutions that are secure, reliable, and measurable. Join a team that turns advanced methods into production capabilities used by real customers, with strong engineering standards and clear ownership. Bring your expertise in building distributed systems and grow your impact through high-visibility work, deep technical leadership, and cross-team collaboration
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)
• 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/Masters in one of the above disciplines with minimum 6 years of relevant experience
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 an analytical field such as Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, or Operations Research
- Experience applying AI and machine learning to a relevant field
- Practical experience with supervised, unsupervised, and semi-supervised machine learning techniques
- Strong experience with natural language processing and its applications
- Strong Python programming skills
- Experience using machine learning libraries such as TensorFlow, Keras, PyTorch, or Scikit-learn
- Previous experience with Spark, Hive, and SQL
- Financial services background
- PhD or Master's degree with at least 6 years of relevant experience
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.
-
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.
-
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.
-
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.
Gallery
