Senior Quant Model Risk Leader

Testing Site - JPMC

Jersey City (NJ)

On-site

USD 180,000 - 290,000

Full time

14 days+

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Job summary

JPMorgan Chase in Jersey City seeks a senior Vice-President in Risk Management - Quant Model Risk to lead thorough reviews of complex credit risk, finance, and investment models within wealth management. You will evaluate model behavior, establish benchmarks, and drive governance with cross-functional teams.

The role requires a strong quantitative background, 7+ years in modeling, and advanced programming in R/Python/SAS.

Qualifications

  • Advanced degree in a quantitative discipline such as mathematics, statistics, financial engineering, or related field.
  • Minimum of 7 years in model development or model validation, and at least 3 years in mortgage models.
  • Strong analytical and problem-solving skills with an inquisitive mindset.
  • Excellent written and verbal communication, ability to explain complex quantitative concepts.

Responsibilities

  • Lead through reviews of complex credit risk, finance and investment models in wealth management.
  • Evaluate model behavior and suitability of estimation models for applications; identify limitations.
  • Develop alternative model benchmarks and robust performance metrics to compare models.
  • Ensure models remain fit for purpose and compliant with internal and regulatory standards; oversee remediation.
  • Serve as the primary contact for new model implementations and governance requirements.
  • Collaborate with model developers, Risk, and finance teams on governance and validation standards.

Skills

Quantitative modeling
Risk management
Model validation
Statistical analysis
Programming (R Python SAS)
Model governance
Communication

Education

MSc/PhD in quantitative discipline

Tools

R
Python
SAS

Job description

JPMorgan Chase in Jersey City seeks a senior Vice-President in Risk Management - Quant Model Risk to lead thorough reviews of complex credit risk, finance, and investment models within wealth management. You will evaluate model behavior, establish benchmarks, and drive governance with cross-functional teams.

The role requires a strong quantitative background, 7+ years in modeling, and advanced programming in R/Python/SAS.

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