Associate, Risk Modeling

Florham Park, United States of America

As part of the Model Development department, you will be responsible for developing and managing advanced regulatory-compliant risk modeling solutions that are used in the day-to-day decision making of the institution. These models encompass the different lines of business (Consumer, Commercial and Wholesale) as well as the Treasury. They typically support multiple bank functions including underwriting, loss forecasting - including stress testing (HCR/DFAST) and reserve calculation (CECL/IFRS), portfolio management, and balance sheet management.

The Associate will offer constant interaction with multiple stakeholders, both internal (senior management, business) and external (supervisors). The Associate will serve as an expert resource for risk quantification and modeling.

• Responsible for the development and enhancement of advanced credit risk, balance sheet and market risk models
• Conduct a critical analysis to understand the business needs, model requirements and its assumptions

• Produce accurate, concise and high-quality model build documentation
• Ensure all model deliverables are of the highest standard and compliant with bank and regulatory standards
• Create model performance monitoring reports on an ongoing basis and share results with various stakeholders
• Engage in a continuous and fluent relationship with different stakeholders: model owners, portfolio managers, model developers and external parties
• Provide expertise and oversight to ensure all models are interpreted and used consistently and correctly across the bank
• Contribute to model development and methodology-related presentations for various audiences including credit officers, model users, internal audit and regulators

• Bachelor's Degree in, Statistics, Economics, Mathematics or an equivalent quantitative field (Master's Degree or PhD preferred)
• 5+ Years of model development experience. Experience building risk models (credit, treasury) for financial institutions preferred
• Expertise in statistical methodologies like regression, time series, decision trees and clustering
• Advanced SAS and SQL knowledge (needed), R, Python, QRM (optional)
• Hands on experience in using complex statistical techniques to solve business problems
• Excellent written and verbal communication with a focus on detailed and clear technical writing
• Knowledge of regulatory expectations for model development and model risk management preferred
• Knowledge of modeling methodologies used in HCR/CECL preferred
• Can-do attitude, creative thinker with a proactive mindset;
• Ability to manage efficiently multiple priorities and time project management;
• Effectively engage and collaborate in teamwork;
• Flexibility and creativity in problem solving;
• Independent critical thinking;