You are a strategic thinker passionate about driving solutions in Advanced Analytics, AI/ML, and data-driven marketing. You have found the right team.

As an Associate within our Private Banking Business Intelligence & Advanced Analytics team, you will help define and deliver data-driven analytics and GenAI solutions for J.P. Morgan Private Bank sales and marketing, strengthening decision-making, client engagement, and workflow efficiency.

• Drive stakeholder engagement across business, technology, and global teams to deliver high-impact data and analytics solutions.
• Align analytics and AI initiatives to evolving business strategies and measurable outcomes.
• Monitor industry trends and emerging methodologies to maximize the value of internal platforms and applications.
• Analyze client behavior, investment patterns, sales funnels, segmentation, and personas to generate actionable insights.
• Embed descriptive, diagnostic, predictive, and prescriptive analytics into business decisioning.
• Strengthen data models and feature stores while improving data quality and reuse.
• Implement ongoing model monitoring and performance measurement to support a data-driven culture.
• Develop analytical frameworks for marketing measurement, including A/B testing and campaign effectiveness.
• Model ROI, cost of acquisition, lifetime value, and attribution approaches (e.g., MMM and multi-touch attribution).
• Build ML-based prediction and recommendation solutions for propensity, opportunity sizing, wallet share, and personalization.
• Support GenAI/agentic AI solutions that enhance advisor and marketer workflows (e.g., content/audience building, insights, sentiment).

• Advanced quantitative degree (MBA or MS in Statistics, Math, Engineering, or related field) with Analytics/Data Science experience in Financial Services, Asset & Wealth Management, or Marketing.
• Proficiency in Python, PySpark, and SQL for large-scale data manipulation and analysis.
• Working experience with Pandas, NumPy, scikit-learn, and TensorFlow (or similar ML libraries).
• Experience with ML methods (regression/classification, clustering, SVMs, trees, neural nets).
• Expertise in ML techniques (feature engineering/selection, imputation, outlier handling, cross-validation, hyperparameter tuning, explainability).
• Excellent written and verbal communication skills, with the ability to translate findings into compelling narratives for diverse audiences.
• Demonstrated judgment, analytical rigor, curiosity, creativity, and critical thinking to simplify complex problems into actionable solutions.
• Ability to operate effectively in ambiguous, fast-evolving environments and adapt to shifting priorities and timelines.
• Strong time management and organizational skills with consistent delivery focus.
• Working knowledge of AWS and LLM/Foundation Model APIs (e.g., OpenAI, AWS Bedrock) to build GenAI solutions for synthesis, natural language querying, and conversational interfaces.
• Exposure to agentic AI, multi-step reasoning, RAG pipelines, and orchestration frameworks.

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.