Finance Decision Optimization, Quant Analytics Associate

JPMorgan Chase

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
4 days ago

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How this pay compares to similar roles

Similar $160k
$117k most similar roles pay here $203k

This listing doesn't post a salary. Most similar roles pay $124,875–$194,375.

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 · Finance Decision Optimization, Quant Analytics Associate

As a Quant Analytics Associate in the Finance Decision Optimization team’s Deposits Area Product group, you will support strategic decision-making by developing advanced deposit models for pricing, treasury, and finance functions. Your daily tasks include driving business outcomes through data analysis, translating business needs into technical requirements, collaborating with technology teams during UAT phases, and refining statistical models to ensure compliance with business objectives. You must possess strong analytical skills, proficiency in tools like SQL, SAS, Python, and R, and experience in corporate finance or banking. Preferred qualifications include expertise with Databricks, Streamlit, AWS, and large-scale data projects, enabling you to manage multiple tasks effectively while delivering actionable insights in a fast-paced environment.

What you'll do

  • Drive business outcomes by using analytics to inform modeling approaches and understand customer behavior.
  • Develop comprehensive knowledge of supported business units to deliver effective solutions and translate demands into technical requirements.
  • Work closely with end users during UAT phase to ensure new functionality meets user needs through testing.
  • Partner with the business modeling team to develop, refine, and validate statistical models for compliance with requirements.
  • Translate business requirements into prototype solutions for new requests and enhancements.
  • Manage multiple tasks in a fast-paced environment while responding to ad hoc requests.

What we're looking for

  • 2+ years of experience in corporate finance, banking, treasury, or quantitative modeling at a financial institution or consulting firm.
  • Strong analytical skills and proficiency in business analytics tools like SQL, SAS, Python, R.
  • Ability to translate complex data into actionable recommendations for various technical teams.
  • Experience developing and refining statistical models with continuous performance evaluation.
  • Effective communication and collaboration skills with end users and technology teams during UAT phase.

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