Intraday Liquidity Management – Data Analytics and Forecasting, Associate

JPMorgan Chase

Quick summary

Work type
On-site
Location
New York, NY
Salary
$90,250–$125,000 / yr
Posted
11 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k
This role $108k
$76k most similar roles pay here $226k

This role pays less than 93% of similar roles. Most pay $132,481–$211,200 — the shaded band above. At the midpoint, this role pays about $108k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

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 368 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 198 roles with salary data.

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View all roles at JPMorgan Chase

At a glance

TL;DR · Intraday Liquidity Management – Data Analytics and Forecasting, Associate

Join the Intraday Liquidity (IDL) Management team within Corporate Treasury at JPMorgan Chase, where you will use Python and AI/ML tools to develop daily forecasts of intraday cash flows across central bank balances and payment channels. Your responsibilities include leveraging firmwide payments data to identify patterns that predict end-of-day balance movements, maintaining a back-testing framework for model accuracy, and collaborating with Product & Technology teams on enhancements. You must have strong Python coding skills, experience with SQL, and practical application of ML or time-series forecasting in operational workflows. Familiarity with Databricks is essential, as you will work within a highly regulated environment to manage USD IDL risk across central bank balances and bilateral counterparty flows.

What you'll do

  • Use Python and AI/ML tools to publish daily forecasts on intraday cash flows.
  • Develop analytical insights from firmwide payments data for early risk detection.
  • Maintain a back-testing framework to enhance forecast accuracy continuously.
  • Own governance documents supporting forecast assumptions and model details.
  • Manage USD IDL risk across central bank balances and bilateral counterparty flows.

What we're looking for

  • Proficient in Python and SQL for data analysis.
  • Experience applying ML or time-series forecasting to operational workflows.
  • Ability to develop and maintain back-testing frameworks for forecast accuracy.
  • Strong communication skills for clear business narratives and documentation.
  • Collaborative work with Product & Technology teams on analytics enhancements.
  • Manage USD intraday liquidity risk across central bank balances and counterparty flows.
  • Organized self-starter capable of working under pressure and managing multiple tasks.

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