SVP, Financial Modeling

Responsibilities

• Direct and actively participate in all stages of model development from data collection, model building, model validation, testing, calibration, and documentation.
• Lead modelers and analysts in the team on the art and science of modeling, data analysis, documentation, decision trade-offs between model complexity and model deployment.
• Monitor statistical model performance and provide technical advice to business leadership.
• Direct and lead the best practice in model development, coding, and systems.
• Play thought leadership in the applications of predictive analytics, data science, and other advanced methods such as machine learning and statistical modeling.
• Respond to model scrutiny and inquiries from both internal and external validators as well as regulators to ensure conceptual soundness, model accuracy, and robustness.
• Communicate model results to stakeholders and senior management.
• Mentor and nurture team members in cutting edge modeling technology and analytics.
• Direct and grow team members in all aspects of modeling & analytics as well as career growth.
• Supervise 3 employees (VP, Financial Modeling and AVP, Financial Modeling).

Requirements

• Requires a Ph.D. in Statistics, Math, Finance, Economics, Operations Research, or related field plus 8 years of experience in a related occupation.
• The Position Also Requires 4 years of experience leading a team of modelers and communicate model results to stakeholders and senior management.
• 4 years of experience with Model design, development, documentation and compliance aspects of quantitative models.
• 4 years of experience in Programming with at least two of the following: Python, R, SQL.
• 4 years of experience with Comprehensive business and technical knowledge of credit risk management methodologies and techniques.
• 4 years of Experience with regulatory model compliance including stress testing and model validation.
• 2 years of experience with credit scoring, data mining, or predictive modeling.
• Any amount of experience with XGBoost.

Pay

The estimated salary for this role is $236,775.00, along with eligibility to earn an annual bonus. Actual salaries may vary based on several factors, such as a candidate’s qualifications, skills and experience.