Global Banking & Markets Operations-Fis Sales & Trading Services-Dallas-Associate

Goldman Sachs•Dallas, TX

About The Position

Goldman Sachs is a leading global financial services firm. Operations is a critical part of the firm, enabling business to flow by partnering with all areas of the firm to deliver banking, sales and trading, and asset management capabilities. Operations provides essential risk management and control, preserving the firm's assets and reputation. This role is within Fixed Income Securities, supporting the Fixed Income institutional desks with trade booking, confirmation, pre-matching, and fails management. The team also handles exception detection, research, resolution, and escalation of position & cash differences. The specific role focuses on Business Intelligence (BI) and Artificial Intelligence (AI) within the fixed income middle office team, aiming to enhance automation, reporting, and data analysis across Fixed Income business lines to achieve efficiency gains.

Requirements

Bachelor’s degree or equivalent in Science, Technology, Engineering or Mathematics / other relevant experience in financial companies in a role with a focus on data.
Relevant experience in an analytical, operations or similar role with a proven track record for managing multiple processes, functions and driving change.
Experience in using business intelligence platforms (i.e. Alteryx, Tableau, Qlikview, Power BI, Server/Database maintenance, Aqua Data Studio).
Developer skills including SQL, Python, R, Machine Learning and AI applications, Jira, Confluence.
Self-motivated with the ability to act as an individual contributor and amongst the broader global BI team.
Familiarity with data and analytical tools such as SQL, Python, R, Jira, and Confluence.
Familiarity with problem solving, process improvement, and adoption of AI tooling.
Ability to develop cooperative and constructive working relationships with a strong sense of functional curiosity and passion for understanding the needs of the business.
Two (2) years of experience in Finance and/or Analytics.

Responsibilities

Work with stakeholders across Operations and Engineering, using verbal and written communication skills.
Drive conversations with senior stakeholders to articulate business needs, identify root cause issues, and influence problem-solving.
Leverage partnerships to ensure low-code solutions are provisioned within the firm’s technology architecture strategy.
Advise on evolving solution applications while considering the full low-code toolkit.
Develop automated solutions connecting upstream data sources to end-user platforms.
Utilize established APIs and partner with Engineering to create new APIs.
Provide end-users with data analytics and risk reporting to enable data-driven decisions.
Identify manual processes that are inefficient and prone to errors, focusing on risk mitigation and resource capacity.
Drive conversations and lead business intelligence programs for various stakeholders with unique datasets and business needs.
Coach and mentor business unit embedded specialists to ensure adherence to governance standards.
Contribute to the evolving Business Intelligence and Artificial Intelligence risk and governance framework.
Apply AI tools and prompt engineering techniques to solve operational problems, improve workflows, and support scalable business solutions.
Partner with Operations stakeholders to identify business challenges, define use cases, and translate operational needs into practical AI-enabled solutions.
Design, test, and refine prompts and AI-assisted workflows to improve process efficiency, reduce manual effort, and mitigate operational risk.
Evaluate where AI capabilities can enhance business intelligence, reporting, data interpretation, and end-user decision making.
Work with Engineering and technology partners to ensure AI-enabled and low-code solutions align with the firm’s broader technology architecture and governance standards.
Support the responsible use of AI by contributing to evolving business intelligence and artificial intelligence risk and governance frameworks.