Quant Analytics Associate, Wealth Management

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Columbus, OH
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $165k

$122k most similar roles pay here $209k

This listing doesn't post a salary. Most similar roles pay $130,000–$200,750.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1138 open roles on FindRole.

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At a glance

TL;DR · Quant Analytics Associate, Wealth Management

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As a Quant Analytics Associate - Wealth Management within the Solutions and Advice Analytics team, you will blend cross-functional knowledge across financial products, markets, statistics, and advanced analytics to improve client outcomes. You will analyze client, advisor, and macro-behavioral trends related to managed solutions, mutual funds, exchange-traded funds, banking, and lending. Your daily work involves analyzing financial flow data to inform strategic decisions, researching competitor positioning, and providing analytical support for regulatory matters. You will assemble, organize, and validate data using SQL, Python, and R while applying statistical methods, causal inference, and machine learning techniques such as clustering, tree-based models, and time-series anomaly detection. You must translate complex analyses into clear narratives and actionable recommendations for stakeholders across Finance, Legal, and Data and Analytics to solve problems within the wealth management product area.

Skills

SQL Python R Machine Learning Causal Inference Data Science Econometrics Financial Modeling Clustering Tree-based Models Data Preparation Analytics

What you'll do

Analyze client, advisor, and macro-behavioral trends related to wealth management products and solutions.
Analyze financial flow data to form hypotheses and conduct deep-dive investigations for strategic decision-making.
Provide high-quality analytical support and documentation for regulatory matters.
Research competitor positioning using data-driven approaches to inform business decisions.
Assemble, organize, and validate large datasets using SQL, Python, and R.
Apply statistical methods, causal inference, and machine learning techniques like clustering and time-series anomaly detection.
Translate complex analyses into clear narratives and actionable recommendations for senior leadership.

What we're looking for

Bachelor’s degree in a related field such as Mathematics, Statistics, Engineering, Computer Science, Finance, Economics, or another STEM discipline.
1+ years of experience in an analytical, analytics, data science, finance, or management and economic consulting role.
Strong SQL skills to assemble, organize, and analyze datasets.
Experience using Python and/or R for analysis, modeling, and data preparation.
Ability to explain complex concepts clearly and turn analysis into actionable recommendations through storytelling.
Aptitude for learning new theory and technology in a fast-moving environment with high attention to detail.
Master’s degree or PhD (preferred).
Knowledge of financial securities, markets, advanced statistics, econometrics, machine learning, and causal inference (preferred).