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Quantitative Modeling Analyst

2 months ago

Tulsa, Oklahoma, United States BOK Financial Full time
Job Summary

We are seeking a highly skilled Quantitative Modeling Analyst to join our team at BOK Financial. As a key member of our risk management team, you will be responsible for identifying, measuring, monitoring, and managing the risk associated with complex models used in financial risk management.

Key Responsibilities
  • Perform independent model validation activities to ensure models are working as intended and model reliability is understood.
  • Build strong working relationships with model owners and users to gain a comprehensive understanding of the business purpose and assumptions used in the development of the models.
  • Measure the potential impact of model limitations, parameter estimation errors and deviations from model assumption, and will compare model outputs with empirical evidence from model benchmarks.
  • Assist with the development of remediation plan recommendations when assigned model outputs fall short of defined objectives.
  • Formulate clear and concise communications regarding model analyses specifying outcome discrepancies, risk identification, regulatory, and policy issues.
  • Present observations to senior leaders, developers, and users in order to make recommendations for action plans, and tracks remediation progress.
  • Work with external regulators and internal auditors as the subject matter expert on assigned models to demonstrate the operational soundness of the model risk management program.
Requirements
  • Advanced degree (Master+) in Mathematics, Statistics, Econometrics, Finance, STEM, or other quantitative discipline; CFA, FRM, CPA, CIA, CISA, or other relevant professional designations considered.
  • Minimum 3–5 years of in-depth quantitative analysis experience in a discipline relevant to financial risk management to include statistical/econometric analysis, predictive modeling, prepayment, option pricing, sensitivity analysis, stress testing, etc.
  • Proficiency with common statistical and programming software (R, SAS, Python, SQL, VBA, or similar)
  • Solid understanding and knowledge of model performance measures
  • Solid understanding of model development and validation methodologies & processes
  • Strong project management skills
  • Ability to produce high quality technical documentation.
  • Knowledge of regulatory requirements related to model risk management (FRB/OCC SR 11-7), Basel II/III capital requirements, Dodd-Frank Act Stress Testing (DFAST), and OCC 12 CFR, Part 30, Appendix D (Heightened Standards), etc.
Working Conditions & Physical Requirements

Office - 20 lbs