Date of Graduation

5-2025

Document Type

Thesis

Degree Name

Bachelor of Science in Business Administration

Degree Level

Undergraduate

Department

Economics

Advisor/Mentor

McDermott, Reba

Abstract

This thesis details the author's internship experience at Goldman Sachs within the Corporate Treasury Operations (CTO) division during the summer of 2024, with a specific focus on the integration of artificial intelligence (AI) into financial services. The internship included exposure to the company's operations in liquidity management, funding, and payment clearing, with particular emphasis on optimizing processes to enhance operational efficiency and risk mitigation. The thesis also explores three major projects: the Repair Tracking Uplift (RTU), which applied data analytics to reduce payment errors; the Payment Clearing Operations Coverage Dashboard (PCO CD), designed to streamline team coordination across global offices; and an AI-driven project aimed at automating payment exception processes and enhancing decision-making.

In addition, the research evaluates the risks associated with AI integration in financial services, particularly concerning customer service. It discusses the benefits and challenges of AI adoption, such as increased efficiency and personalization, while highlighting potential risks like data biases, security vulnerabilities, and the loss of human interaction. The thesis concludes with a reflection on the future of AI in financial services and the importance of balancing technological advancements with the preservation of customer trust and human oversight.

Keywords

Goldman Sachs; Corporate Treasury Operations; Artificial Intelligence; Payment Clearing; Financial Services; Operational Efficiency

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