Senior Bank Investment Risk & Quantitative Modeling Expert

The PNC Financial Services Group Inc.

Pittsburgh (Allegheny County)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

The PNC Financial Services Group Inc. in Pittsburgh, PA seeks a Bank Investment Risk Specialist Senior to perform advanced quantitative analyses supporting market risk monitoring.

You will operate and validate risk models, analyze VaR/PFE, and drive data integrity and reporting for regulatory compliance. Requires a Master’s degree in a quantitative field and 1 year of relevant experience, with skills in SQL, R, C++, and Python.

Qualifications

  • Master’s degree in Computational Finance, Financial Engineering, Statistics or Applied Mathematics.
  • 1 year of financial industry experience relevant to market risk management required.
  • Experience with VaR, PFE, and liquidity stress testing is expected.
  • Familiarity with regression, time series analysis and stochastic calculus.

Responsibilities

  • Operate financial and risk models related to market, liquidity, and capital adequacy.
  • Validate data sources, documentation, and outputs for risk models.
  • Analyze VaR, PFE, and backtesting results to support regulatory requirements.
  • Lead analytical projects from design to implementation and data integrity.
  • Collaborate with model developers on new market risk models and UAT.
  • Develop reporting infrastructure and databases for financial products.

Education

Master's degree in Computational Finance, Financial Engineering, Statistics, or Applied Mathematics

Tools

SQL
R
C++
Python
VBA

Job description

The PNC Financial Services Group Inc. in Pittsburgh, PA seeks a Bank Investment Risk Specialist Senior to perform advanced quantitative analyses supporting market risk monitoring.

You will operate and validate risk models, analyze VaR/PFE, and drive data integrity and reporting for regulatory compliance. Requires a Master’s degree in a quantitative field and 1 year of relevant experience, with skills in SQL, R, C++, and Python.

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