Quant Analytics, Senior Associate, Asset Wealth Management

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NYJersey City, NJ
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $165k
$122k $205k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $132,600–$196,750.

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 1240 open roles on FindRole.

Listed pay typically runs $153,591–$207,500 across 14 roles with salary data.

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At a glance

TL;DR · Quant Analytics, Senior Associate, Asset Wealth Management

As a Quant Analytics, Senior Associate - Asset Wealth Management, you will join the Asset & Wealth Management Business Intelligence & Analytics team to own the Client Analytics Data Product. You will shape how client data is prepared for AI by partnering with marketing, sales, finance, product strategy, client service, and investment teams. Your daily work involves designing and executing analyses using regression, segmentation, propensity modeling, attrition modeling, forecasting, attribution, and test-and-learn experimentation. You will build scalable dashboards and reusable analytics products using Microsoft Power BI and Qlik Sense while integrating internal and third-party data. You must utilize SQL and Python, specifically pandas, scikit-learn, and statsmodels, to address entity resolution and data quality issues to provide trusted, AI-ready data products for the business.

What you'll do

  • Own the Client Analytics Data Product roadmap, success measures, and delivery plan.
  • Partner with business teams to run intake, align priorities, and drive adoption of analytics products.
  • Deliver quantitative insights and senior-ready recommendations to improve business decisions.
  • Design and execute analyses using regression, segmentation, propensity modeling, and forecasting.
  • Define shared client definitions and certified metrics for consistent reporting across the business.
  • Build scalable dashboards and reusable analytics products in Microsoft Power BI and Qlik Sense.
  • Integrate internal and third-party data to build validated analytical models in SQL and Python.

What we're looking for

  • 3+ years of experience in quantitative analytics, data science, business intelligence, or analytics consulting.
  • Demonstrated quantitative skills in statistics, regression, segmentation, clustering, forecasting, and experimental design.
  • Advanced SQL and Python experience working with large, multi-source datasets.
  • Hands-on experience building dashboards and analytics products using Microsoft Power BI and/or Qlik Sense.
  • Proven ability to translate analysis into clear, actionable recommendations for senior stakeholders.
  • Strong stakeholder management skills, including influencing without direct authority and aligning competing priorities.
  • Working knowledge of data governance fundamentals and how trusted data supports responsible AI use cases.
  • Experience using third-party asset management datasets, knowledge of wealth management products, and advanced modeling skills (preferred).

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