Quant Analytics Associate

JPMorgan Chase

Quick summary

Work type: On-site
Location: Bengaluru, Karnataka, IndiaHyderabad, Telangana, IndiaMumbai, Maharashtra, India
Posted: 2 days ago
Nearby: 53 roles within 25 mi

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How this pay compares to similar roles

Similar $152k

$108k most similar roles pay here $190k

This listing doesn't post a salary. Most similar roles pay $122,500–$182,228.

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 510 open roles on FindRole.

Listed pay typically runs $147,250–$205,000 across 269 roles with salary data.

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At a glance

TL;DR · Quant Analytics Associate

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As a Quant Analytics Associate in the Data & Analytics team at Corporate Sector, you will work on defining and monitoring KPIs for the Communications product vertical, conducting deep-dive analyses to generate actionable insights that influence strategic decisions. Your day-to-day involves collaborating with cross-functional teams such as QUAD, data engineering, and product development to enhance data integrity and build robust analytics platforms using SQL, Python, Alteryx, and Tableau. You will also create detailed dashboards and reports to communicate product performance effectively to senior leadership, ensuring that your work supports the company’s growth initiatives in a highly technical and fast-paced environment. Ideal candidates have 5+ years of experience with advanced quantitative research and data analysis for financial products, along with strong critical thinking and communication skills.

Skills

Python SQL Tableau Alteryx LLM AI Data Visualization Dashboards KPIs Analytics Platforms Cross-Functional Collaboration Critical Thinking Data Integrity Data Engineering Infrastructure Enhancement Modern Analytics Platforms Data Products Problem Solving

What you'll do

Define and monitor KPIs for the Communications product to track growth opportunities.
Conduct in-depth analyses to generate insights and recommendations for strategic decisions.
Lead discovery efforts with QUAD to formulate problem statements and define success metrics.
Build and maintain dashboards to communicate product performance effectively to leadership.
Ensure data integrity across platforms by partnering with data engineering teams.
Inform product development and go-to-market strategies through collaboration with cross-functional teams.

What we're looking for

Bachelor’s degree in a quantitative field with significant data analysis experience
5+ years of applied experience using SQL, Python, Alteryx, and Tableau
Strong analytical skills for defining metrics and evaluating results
Excellent communication skills for presenting findings to senior leadership
Experience in multi-tasking and prioritizing tasks within cross-functional teams
Familiarity with modern analytics platforms and data visualization tools
Ability to generate insights from data to drive strategic decisions

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