Global Banking & Markets - Classic - Finance & Strategy - Analyst - Dallas

Goldman Sachs is hiring an Analyst for its Global Banking & Markets Finance & Strategy team. The role supports divisional leadership through financial analytics, business planning and forecasting, competitive intelligence, expense management, KPI tracking, and modernization of reporting processes.

What you'll do:

• Financial Analytics — Build and maintain performance analytics and periodic reporting on divisional revenue, expenses, and shareholder returns. Design executive-grade dashboards that serve as the single source of truth for decision-making
• Financial Process Modernization — Proactively identify operational inefficiencies and partner with cross-functional teams to automate and streamline them — increasingly leveraging AI tooling and solutions to eliminate manual effort
• Business Planning & Forecasting — Develop and track new initiatives and collaborate with cross-functional partners to support the execution of multi-year and intra-year revenue and expense budgeting and forecasting
• Competitive Intelligence — The Finance & Strategy team owns investment banking and trading competitive analytics for the GBM division. Deliver sophisticated benchmarking and market-share analysis of peer performance across FICC, Equities, and Banking to inform strategic positioning
• Expense Management — Act as a steward of the Division's cost base, partnering on efficiency projects and delivering transparent, accurate reporting
• Key Performance Indicator Tracking & Analysis — Track, analyze, and manage progress toward firmwide goals, with a focus on FICC & Equities, in close partnership with cross-divisional stakeholders

What they're looking for:

• Bachelor's degree in finance, accounting, economics, mathematics, statistics, computer science, or engineering
• Genuine interest in financial markets and financial analytics, with the intellectual curiosity to go deeper
• Strong foundational Excel skills and polished PowerPoint for executive storytelling
• Data preparation & automation — comfort with SQL for querying large, complex datasets is preferred but not required
• Hands-on experience applying generative AI and LLM-based tools (e.g., Copilot-style assistants, enterprise chat tools) to accelerate analysis, automate reporting, and enhance productivity
• Strong prompt engineering instincts and sound judgment on where AI adds value — and where human review remains essential
• Enthusiasm for piloting emerging tools to improve personal and team productivity
• Exceptional analytical rigor and a natural aptitude for working with large, ambiguous datasets
• Strong written and verbal communication, with the presence to interact credibly with senior management and global stakeholders
• Ability to articulate financial results clearly and translate complex analysis into confident, data-driven recommendations
• A problem-solver who thrives in fast-paced, evolving environments — with uncompromising accuracy and attention to detail
• 0–3 years of relevant experience in finance, strategy, consulting, or analytics (preferred)