JOE Listings (Job Openings for Economists)
August 1, 2022 - January 31, 2023
Santander Holdings USA
Position Title/Short Description
Section: Full-Time Nonacademic
Locations: New York, New York, UNITED STATES
Boston, Massachusetts, UNITED STATES
Florham Park, New Jersey, UNITED STATES
JEL Classification: C1 -- Econometric and Statistical Methods and Methodology: General
Keywords:
Regression, time series, decision trees, clustering
SAS, SQL, R, Python, QRM
Full Text of JOE Listing:
Position Summary:
Several exciting opportunities for quantitative oriented, creative, and hands-on individuals are available at Santander Bank NA. 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 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.
Positions will offer constant interaction with multiple stakeholders, both internal (senior management, business) and external (supervisors). The incumbents will serve as an expert resource for risk quantification and modeling. It is key for the interested candidates to demonstrate superb communication skills and the ability to write clearly dealing with highly technical subjects, as well as the ability to work in a world-class dynamic and inspiring team environment with other talented individuals.
Position Duties:
• Responsible for the development and enhancement of advanced credit risk, balance sheet and market risk models
• Conduct critical analysis to understand the business needs, model requirements and 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
• Contribute to model development and methodology-related presentations for various audiences including credit officers, model users, internal audit and regulators
Qualifications:
• Master’s Degree or PhD in Economics, Mathematics, Statistics or equivalent quantitative fields
• Years of model development experience (or equivalent academic 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 R, Python, QRM (optional)
• Hands on experience using complex statistical techniques to solve business problems
• Excellent written/verbal communication with a focus on detailed and clear technical writing
• Knowledge of regulatory expectations for model development and model risk management preferred
Positions available on different levels of seniority, ranging from Analyst to Senior roles.
Application Requirements:
- CV