Senior Principal, Model Risk & Validation (Hybrid)

OCC

Chicago (IL)

Hybrid

USD 111,000 - 156,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work environment
Up to 2 days remote per week
Tuition Reimbursement
Student Loan Repayment Assistance
Technology Stipend
Generous PTO and Parental leave
401k Employer Match
Health benefits (medical, dental, and視

Job summary

The Options Clearing Corporation (OCC) is seeking a skilled Model Risk Management professional to analyze model risk spanning pricing, margin, liquidy, and stress testing. You will conduct independent reviews, design benchmark models, and develop model-testing tools using RStudio and SQuirrel SQL Client, ensuring robust validation and governance across risk teams.

Collaborating with CRO teams and data/technology staff, you will validate model performance, backtest portfolios, and assess

Qualifications

  • Master’s degree in finance, financial engineering, financial mathematics, or related field.
  • Two years of experience as a model risk management associate, quantitative risk management analyst, or related role.

Responsibilities

  • Analyze model risk across pricing, margin, clearing fund, stress testing and liquidity models.
  • Design and implement benchmark models and model-testing tools, including backtesting.
  • Write and review validation documentation.
  • Perform model performance testing, including portfolio back-testing using historical data.
  • Communicate model risk analysis to CRO teams and collaborate with cross-functional departments.

Skills

Model risk analysis
Backtesting
RStudio
SQuirrel SQL
Monte Carlo

Education

Master’s degree in finance

Tools

RStudio
SQuirrel SQL

Job description

The Options Clearing Corporation (OCC) is seeking a skilled Model Risk Management professional to analyze model risk spanning pricing, margin, liquidy, and stress testing. You will conduct independent reviews, design benchmark models, and develop model-testing tools using RStudio and SQuirrel SQL Client, ensuring robust validation and governance across risk teams.

Collaborating with CRO teams and data/technology staff, you will validate model performance, backtest portfolios, and assess

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