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.
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
Qualification
Required
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
Preferred
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
Experience applying causal inference methods in an applied business setting
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.
JPMorganChase is a financial services company providing banking, investment, financial management, and related services. It is a sub-organization of PricingDirect.
