Senior Associate Quant Interest Rate Risk

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
44 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $171k
$127k most similar roles pay here $215k

This listing doesn't post a salary. Most similar roles pay $135,250–$206,250.

Based on 239 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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Associate Quant Interest Rate Risk

As a Quant Interest Rate Risk - Senior Associate on the Structural Interest Rate Risk Analytics team within Consumer and Community Banking Treasury, you will manage interest rate risk and transfer pricing across various balance sheet areas including deposits, home lending, auto lending, credit cards, and business loans. You will evaluate interest rate risk, update modeling assumptions, and perform scenario and sensitivity analyses to assess risk-return tradeoffs while ensuring adherence to internal limits. Your daily work involves synthesizing strategic insights for executive stakeholders and navigating asset-liability management and regulatory requirements. To succeed, you must utilize Python, Excel, PowerPoint, and potentially SQL or Tableau to deliver quantitative solutions. The role requires expertise in econometrics, machine learning, or statistical techniques to manage interest rate risk on the balance sheet while communicating complex concepts to both technical and non-technical audiences.

What you'll do

  • Evaluate interest rate risk and update modeling assumptions for deposit, credit card, and mortgage portfolios.
  • Manage interest rate risk metrics including Earnings at Risk, duration, and DV01 within the banking book.
  • Refine deposit funds transfer pricing methodologies for monthly forecasts and stress testing exercises.
  • Perform in-depth scenario and sensitivity analyses to assess risk-return tradeoffs.
  • Monitor market developments and macroeconomic conditions to navigate asset-liability management and regulatory requirements.
  • Develop and execute quantitative analyses using advanced Python programming.
  • Create reporting solutions that provide actionable insights for senior management.
  • Communicate complex interest rate risk concepts to both technical and non-technical stakeholders.

What we're looking for

  • Bachelor’s or Master’s degree in a quantitative field such as financial engineering, statistics, applied mathematics, or data science.
  • Full-time work experience in finance, including banking, strategy, capital markets, asset management, or risk management.
  • Proficiency in Python or other scripting languages like R, MATLAB, or VBA.
  • Proficiency in Excel and PowerPoint.
  • Knowledge of econometrics, machine learning, or other statistical techniques.
  • Ability to communicate complex concepts clearly to both technical and non-technical audiences.
  • Prior exposure in a Treasury/ALM role or familiarity with interest rate risk concepts (preferred).
  • Proficiency in SQL and Tableau; progress towards CFA or FRM; experience with version control (preferred).

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