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Gabriel Santos Quintão - Senior CRE Analyst

Location: Curitiba, Brazil

Compensation range discussed: $1,900 - $2,300

LinkedIn Profile | email: gabriel_sq@hotmail.com | Phone: +55 (41) 99950-4051

Summary

Commercial Real Estate Financial Analyst with 2 years of direct experience supporting institutional clients in the U.S. market. At CBRE, he leads financial analysis and valuation for assets in Texas and Washington, working with clients like T-Mobile. His expertise involves developing cash flow models and analyzing rent rolls to support the creation of marketing materials. He has contributed the financial data and analysis for Offering Memorandums (OMs) and has reviewed Broker Opinions of Value (BOVs). He improved financial analysis efficiency by 30% by creating structured AI prompts. Proficient in Excel, PowerPoint, Canva, and Salesforce.

Meet Gabriel

This video from our screening interview provides a look into Gabriel's background and experience.

Candidate Snapshot

US-based Real Estate Experience

• 2 Years of Direct US Market Experience: As a Financial Analyst at CBRE, he directly supports institutional clients with assets in Texas and Washington.
• Institutional Client Exposure: Works with major US corporate clients, including T-Mobile and Prudential, analyzing leases and providing financial data and risk assessments to management.
• Cross-functional Collaboration: Interacts daily with stakeholders, including landlords, brokers, and senior analysts, to support investment decisions and manage client reporting for US assets.

Real Estate Documentation Development

• Offering Memorandum (OM) Contribution: He has supported the creation of OMs by developing and providing the core financial analysis, cash flow models, and performance metrics.
• Broker Opinion of Value (BOV) Familiarity: He has reviewed BOVs, analyzing the financial data and valuation inputs as part of his role.
• Client-Ready Presentations: He is responsible for translating financial data from Excel into client-ready presentations for management, using tools like PowerPoint and Canva to report on performance and strategic direction.

Commercial Real Estate Expertise

• Financial Analysis & Valuation: Leads the financial analysis and valuation of commercial real estate assets, developing cash flow models, DCF, and sensitivity analyses to assess risk and return profiles.
• Asset-Level Analysis: Analyzes operating statements, rent rolls, and lease terms to identify value drivers and risks for commercial properties.

Education

• Bachelor's Degree in Business Management | Unopar (2022)

Tools & Technologies

• Real Estate & Data: Advanced Excel, Salesforce, Bloomberg.
• AI & Automation: Chat GPT, Gemini, Claude, Copilot.
• Design & Presentation: Canva, PowerPoint.

Key Qualifications & Highlights

• Proactive AI Implementation for Process Optimization: Took the initiative to develop structured AI prompts that improved the efficiency of financial analysis by approximately 30%. He independently created and led training sessions for his team on how to leverage AI tools, demonstrating a proactive mindset and an ability to drive modern workflow adoption. • Advanced Financial Storytelling & Stakeholder Communication: Excels at translating complex financial data into clear business insights for diverse audiences. He regularly presents analyses to managers, outlining risks and strategic direction, and effectively communicates with landlords and other stakeholders, adapting his language to fit their technical understanding. • Self-Driven Interest in AI Development: Actively self-studying AI in his personal time, including learning to build AI agents with tools like n8n. This passion for AI aligns directly with the core business of Henry and demonstrates a genuine interest in the future of real estate technology.

Screening Interview - Key Observations

• Proactive AI Evangelist: He took the personal initiative to build and implement AI prompts at CBRE, saving himself 30-40% of his time on specific tasks. He then went further by creating and leading training sessions to drive AI adoption across his team, successfully encouraging colleagues who were previously hesitant about the technology.
• Strategic Communicator: He excels at translating complex financial data for different audiences. He highlighted the importance of not just presenting numbers but also explaining the business risks and implications behind them. He specifically mentioned adapting his communication style whether speaking with a landlord or a manager to ensure the information is understood and relevant.
• Genuine Passion for AI in Real Estate: His motivation for this role is driven by a strong personal interest in AI. He is actively self-studying tools and AI models like Claude in his spare time. He is currently working on a personal project to build an AI agent to query his company's internal knowledge base, demonstrating a clear alignment with the company’s core business.
• Goes Beyond the Ask: He described his work philosophy as always wanting to "go a step further." When asked for financial data, he doesn't just provide the numbers; he also builds the financial model and includes an analysis of potential risks, delivering a more comprehensive and valuable output than what was requested.
• Candidate Question: He has one key question for the company: "What would success look like in the first six months in this role?" as he has not worked in an AI-first company before.