Advanced Analytics Associate

About the Role

As an Advanced Analytics Associate at JPMorgan & Co, you will be a key member of the Private Banking Business Intelligence & Advanced Analytics team, driving data-driven analytics and GenAI solutions for J.P. Morgan Private Bank sales and marketing.

Day-to-day, you will engage with stakeholders across business, technology, and global teams to deliver high-impact data and analytics solutions, aligning analytics and AI initiatives with evolving business strategies and measurable outcomes.

Key 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.

Skills & Qualifications

• 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.

What You'll Learn

As an Advanced Analytics Associate, you will gain hands-on experience with cutting-edge analytics and AI tools, developing your skills in data-driven decision-making, stakeholder engagement, and collaboration.

You will also learn to navigate complex business environments, prioritize multiple projects, and adapt to shifting priorities and timelines.

Resume Tip

When applying for this role, be sure to highlight your experience with data manipulation and analysis tools, such as PySpark and SQL, as well as your proficiency in machine learning libraries like TensorFlow and scikit-learn.

Emphasize your ability to communicate complex analytics insights to diverse audiences and your experience working with stakeholders across business, technology, and global teams.