E-Markets

JPMorgan Chase

Closes in 5 days

Quick summary

Work type
On-site
Location
New York, NY
Posted
12 days ago
Closes
Jul 3, 2026 (soon)

Market check

Salary context

How this pay compares to similar roles

Similar $189k
$146k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $154,287–$223,750.

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 394 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 207 roles with salary data.

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View all roles at JPMorgan Chase

At a glance

TL;DR · E-Markets

As a Senior Quantitative Trading Analyst on the Electronic Credit Trading team at a leading financial firm in New York City, you will manage and optimize electronic credit trading algorithms to align with institutional and corporate client needs. Your daily responsibilities include overseeing price delivery, risk management, and data analytics, developing predictive models using deep learning methods, and implementing risk mitigation strategies. You will also perform market analysis, respond to client requests, and drive all aspects of trading desk operations, from pre-trade analysis to trade execution. The role requires expertise in Java for event-oriented processing engines, Python for data analysis, kdb for dataset management, SQL for query optimization, and Tableau for visualizing insights. Additionally, you must have experience with DevOps tools like Jenkins and Unix, as well as proficiency in Excel and PowerPoint for advanced reporting functionalities.

What you'll do

  • Manage and optimize electronic credit trading algorithms to align with institutional client strategies.
  • Oversee risk management and liquidity for large trades, ensuring compliance with firm policies.
  • Perform predictive modeling using quantitative techniques and deep learning methods for trading operations.
  • Develop event-oriented processing engines and logic using Java for real-time data handling.
  • Analyze market drivers and provide solutions that enhance clients' trading strategies.
  • Design and implement risk mitigation strategies to protect against potential financial losses.

What we're looking for

  • Master's degree in Data Science, Computer Science, Quantitative Finance, or related field plus 2 years of relevant experience.
  • Develop event-oriented processing engines and logic using Java for electronic credit trading algorithms.
  • Perform predictive modeling with quantitative techniques and deep learning methods including probability and linear algebra.
  • Design and develop advanced Excel and PowerPoint reports using VLOOKUP, INDEX MATCH, pivots, and VBA.
  • Analyze datasets using Python, kdb, SQL, and real-time data streams to optimize business processes.
  • Automate report creation and dashboard generation with Python, Tableau, and Java frameworks for actionable insights.

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