Quant Analytics Associate - Wealth Management

JPMorganChase is a financial services firm serving consumers, businesses, and institutions through a broad range of financial products. The Quant Analytics Associate will analyze wealth management trends, financial flows, regulatory matters, and competitor positioning, using statistical, causal inference, and machine learning techniques to develop actionable recommendations for business stakeholders and senior leaders.

What you'll do:

• Analyze client, advisor, and macro-behavioral trends related to wealth management products and solutions, including managed solutions, mutual funds, exchange-traded funds, banking, and lending
• Analyze financial flow data to inform strategic decision-making, including forming hypotheses and conducting deep-dive investigations
• Provide analytical support for regulatory matters through well-documented, high-quality analysis and responsive stakeholder partnership
• Research competitor positioning using data-driven approaches to support strategic discussions and business decisions
• Assemble, organize, validate, and analyze data using tools and technologies such as SQL, Python, and R
• Apply statistical, causal inference, and machine learning techniques, including clustering, tree-based models, matching methods, and time-series anomaly detection
• Present findings and recommendations to stakeholders and senior leaders across Solutions and Advice, Finance, Legal, and Data and Analytics

What they're looking for:

• 1+ years of experience in an analytical, analytics, data science, finance, or management and economic consulting role
• Bachelor's degree in a related field such as Mathematics, Statistics, Engineering, Computer Science, Finance, Economics, or another applicable science, technology, engineering, or mathematics discipline
• Strong SQL skills with experience using SQL to assemble, organize, and analyze datasets
• Experience using Python and/or R for analysis, modeling, and data preparation
• Ability to explain complex concepts in clear, digestible terms for audiences at various levels of the business
• Strong storytelling skills, including turning analysis into actionable recommendations
• Aptitude for learning new theory and new technology in a fast-moving environment
• Demonstrated attention to detail and strong quality standards in analytics deliverables
• Master's degree or PhD
• Knowledge of or demonstrable interest in financial securities and markets
• Practical understanding of advanced statistics, econometrics, and/or machine learning
• Practical understanding of financial modeling and economics

Benefits:

• Eligible roles may receive commission-based pay.
• Eligible roles may receive discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• A retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.