Machine Learning Engineer (Applied AI/ML)

Job Description

Build and improve machine learning models and analytics that translate data into measurable business outcomes.

Job Summary:

As a Senior Associate Data Scientist in Advanced Analytics and Machine Learning, you plan and deliver analytics projects that translate business problems into models and insights.

Job responsibilities:

• Plan, develop, and execute analytical projects using appropriate techniques
• Clarify problem statements by asking targeted questions and confirming scope, constraints, and success measures
• Partner with developers to implement models and analytics deliverables and integrate enhancements into existing solutions
• Build knowledge of business processes and modeling methods to improve solution quality and relevance
• Evaluate and monitor performance of new and existing models using defined metrics and thresholds
• Deliver models and analytics outputs on time and with documented assumptions and limitations
• Improve models and automate recurring reports and procedures to reduce manual effort
• Organize code and document model development, validation, and change history
• Explore new data sources, techniques, and environments to enhance model accuracy and robustness
• Communicate model results and analytical findings through clear presentations and visualization

 

Required qualifications, capabilities, and skills 

• Master’s degree in statistics, computer science, engineering, or a related quantitative field or bachelor’s degree plus three years of relevant experience
• Experience with generative AI, including building agent-based workflows and retrieval-augmented generation systems
• Working knowledge of XGBoost, random forest, and k-means algorithms
• Advanced proficiency in data analysis and machine learning techniques
• Intermediate programming proficiency in SQL and Python or R
• Intermediate experience with data visualization tools (for example, Matplotlib or Tableau)
• Experience applying supervised and unsupervised learning methods in practical use cases

 

About Us

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.

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.