Advanced Analytics Associate

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.

Job Responsibilities

• 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).

Required qualifications capabilities and skills

• 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.