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Quantitative Research - Credit - Vice President

JPMorganChase

Salary not specified
Sep 23, 2025
New York, NY, US
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J.P. Morgan's Credit QR team is looking to enhance real-time risk management capabilities for trading stakeholders, addressing current infrastructure shortcomings and designing a new strategic infrastructure.

Requirements

  • Knowledge of the credit and fixed income business with a structured approach to problem-solving.
  • Strong software design and data science skills, with experience in Python preferred.
  • Interest in good software design principles.
  • Exceptional analytical, quantitative, and problem-solving skills.
  • Experience supporting a credit market-making desk with P&L or risk production responsibilities.
  • Advanced degree in math, statistics, physics, financial engineering, or computer science.
  • Proactive attitude with a natural interest in learning about our business, models, and infrastructure.

Responsibilities

  • Address the current infrastructure's shortcomings by gathering user feedback and ensuring consistent and accurate risk and P&L views.
  • Identify and implement effective methods to project P&L into the major risk factors that originate it.
  • Collaborate with our Technology partners to ensure accurate data exposure in the User Interface (UI).
  • Contribute to designing the new strategic infrastructure to replace the current system.
  • Partner with our Credit Data Tech team to ensure all exposed data is recorded and auditable.
  • Document the data product and streams, detailing model and implementation choices for defining various P&L and risk factors.
  • Coordinate with the QR team to align activities and agree on optimal implementation choices, working with sub-teams in Credit QR: Credit Cash, Credit Macro, Credit Exotic, and Loan, CLO, and Financing teams.

Other

  • Team player with excellent oral and written communication skills for interaction with trading, technology, and peer QR teams.
  • Attention to detail and a focus on quality deliverables.
  • Ability to work effectively in a high-pressure environment.
  • Advanced degree in math, statistics, physics, financial engineering, or computer science.
  • Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.