Junior Quantitative Risk Analyst
1 week ago
Position Overview
The Quantitative Modeling Analyst I plays a crucial role in assessing, quantifying, and overseeing the risks associated with intricate and strategically significant models. These models are utilized in various areas such as Anti-Money Laundering (AML), Asset/Liability Management, Current Expected Credit Loss (CECL), Market Risk regulations, pricing strategies, profitability assessments, regulatory capital calculations, underwriting processes, fraud detection, and fair lending practices.
Key Responsibilities
- Conduct independent evaluations of model performance to ensure accuracy and reliability.
- Establish robust relationships with model stakeholders to gain insights into the business rationale and assumptions underlying model development.
- Assess the implications of model constraints, estimation inaccuracies, and deviations from established assumptions, while comparing model outputs against empirical benchmarks.
- Assist in formulating remediation strategies when model outputs do not meet predetermined objectives.
- Prepare clear and precise communications regarding model analyses, highlighting discrepancies, risk identification, and compliance issues.
- Present findings to senior management, developers, and users, making recommendations for action plans and tracking remediation efforts.
- Serve as the subject matter expert for external regulators and internal auditors on assigned models, demonstrating the integrity of the model risk management framework.
Qualifications
Applicants should possess an advanced degree (Master's or higher) in Mathematics, Statistics, Econometrics, Finance, or a related quantitative field. Relevant professional certifications such as CFA, FRM, CPA, CIA, or CISA are advantageous.
- A minimum of 3–5 years of extensive experience in quantitative analysis related to financial risk management, including statistical analysis, predictive modeling, and stress testing.
- Proficiency in statistical and programming tools (e.g., R, SAS, Python, SQL, VBA).
- Strong understanding of model performance metrics and validation methodologies.
- Excellent project management capabilities.
- Ability to produce high-quality technical documentation.
- Familiarity with regulatory standards concerning model risk management.
Work Environment
This position is office-based, with the requirement to lift up to 20 lbs.
BOK Financial Corporation Group is committed to fostering a diverse and inclusive workplace, providing equal employment opportunities for all qualified candidates.
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