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Fernando Galaz Kutulas - Senior CRE Analyst

Location: Santiago, Chile

Compensation range discussed: $1,500 - $2,100

LinkedIn Profile | Email: fernandogalaz19@gmail.com | Phone: +56 9 82391762

Summary

Corporate Transactions Consultant with over 3 years of experience in Commercial Real Estate and Corporate Finance. Currently working as a Capital Market Analyst and previously having worked at JLL, serving as the primary real estate liaison in Chile for multinational corporations such as Levi's, Microsoft, BlackRock, and NCR. His background includes direct exposure to the U.S. market, where he evaluated multifamily investments across the Sunbelt, specifically in Atlanta, Orlando, and Texas, at Inversiones Arizona (Chilean Family Office). He combines analytical and presentation expertise, specializing in translating financial models into Confidential Investment Memoranda, executive summaries, and client presentations using internal PowerPoint templates. Additionally, he leverages AI tools and data scraping software to identify property owners and optimize market workflows. He effectively bridges global real estate strategies with local execution by managing lease negotiations, site selection, and portfolio strategy.

Meet Fernando

This video from our screening interview provides a look into Fernando's background and experience:

Candidate Snapshot

US-based Real Estate Experience

• Institutional US Market Support: Acts as the primary local touchpoint for major US corporations, including Microsoft and BlackRock, bridging US corporate real estate standards with complex local market dynamics. Directly advises global real estate departments on portfolio strategy, site selection, and local regulations.

• US Market Underwriting: Evaluated high-volume deal flows from US brokers targeting the Sunbelt region (specifically Orlando, Atlanta, and Texas). Analyzed macroeconomic shifts, state-specific regulations, and demographic migration patterns during the 2020–2021 cycle to vet multifamily assets for investment committee approval.

Real Estate Documentation Development

• Investment Committee Materials: Built comprehensive Confidential Investment Memorandums (CIM) for private equity funds and a family office. Responsible for logically structuring complex project data—ranging from city-level economic analysis and demographics to exit strategies—into cohesive narratives for final committee approval.

• Presentation Design: Demonstrates proficiency in Microsoft PowerPoint, utilizing templates to translate raw financial models and market data into logically structured, executive-level investment decks and client-facing presentations.

Commercial Real Estate Expertise

• Cross-Asset Class Valuation: Accumulates over 3 years of direct experience spanning project finance, private equity, and corporate brokerage. Actively manages transaction cycles across industrial, office, and multifamily asset classes.

• Full Deal-Cycle Knowledge: Transitioned from heavy analytical roles—evaluating real estate loan refinancing and managing private equity portfolios—to active corporate transactions at JLL, successfully navigating lease negotiations and closing deals with investment and pension funds.

Education

• Bachelor of Science in Business Administration, Mention in Sustainability | Adolfo Ibañez University (2020)

• Student Exchange Program | Texas State University (2016)

Certifications

• Financial Modeling & Valuation Analyst (FMVA) | Corporate Finance Institute (Ongoing)

Tools & Technologies

• Real Estate & Data: Advanced Excel (Financial modeling, valuation), Proprietary Data Scraping Tools.

• Design & Presentation: Microsoft PowerPoint.

• AI & General: Chat GPT, Gemini, Microsoft Office Suite.

Key Qualifications & Highlights

• Proactive Tech & Data Implementation: Identified a critical operational bottleneck caused by the lack of public property data (analogous to CoStar) in the local market. Partnered with a programmer to implement a specialized data scraping tool that cross-referenced property codes with owner contact information, drastically accelerating the identification of off-market industrial sites and optimizing lead generation.

• Comprehensive Financial & Marketing Acumen: Blends deep analytical rigor from early career roles in corporate finance—where he evaluated bank refinancing models and managed fund portfolios—with active, client-facing sales expertise. This dual background ensures a direct understanding of how raw financial indicators shape commercial real estate marketing, deal structuring, and institutional storytelling.

• Practical AI Integration: Actively utilizes AI platforms like ChatGPT and Gemini to streamline daily workflows, from organizing complex Excel data sets to drafting professional communications, demonstrating strong alignment with tech-forward, startup methodologies.

Screening Interview - Key Observations

• Current Focus on Institutional Brokerage: While his background includes extensive financial analysis, he clarified that his current daily responsibilities are heavily focused on direct sales and brokerage. He actively pitches and sells commercial real estate assets to large investment and pension funds, showing a strong comfort level with client-facing commercial operations.

• Exposure to Specific Marketing Materials (Area for Improvement): He transparently confirmed he has not directly produced Offering Memorandums (OMs) or Broker Opinions of Value (BOVs). His design and marketing experience is strictly tied to building logical, data-driven investment committee decks and completing standardized corporate presentation templates using Microsoft PowerPoint.

• Motivation for Workflow Automation: He considers the manual creation of real estate presentations to be a tedious and time-consuming process based on his past experiences building committee materials. Because of this, he is highly motivated by the startup's AI-native product, noting he already utilizes AI daily to generate complex Excel formulas and streamline professional communications.

• Cross-Cultural Communication Competence: Demonstrated strong adaptability and communication skills when dealing with international stakeholders. He provided specific examples of how he translates complex, region-specific real estate metrics—such as explaining the Chilean "UF" (an inflation-indexed value) and local market regulations—into clear terms for US-based corporate real estate departments.

• Pending Queries for the Hiring Team: He has two outstanding questions for the hiring managers: he asked for more concrete details regarding the day-to-day responsibilities at the intersection of AI and marketing, and he inquired about the company's strategic reasoning for targeting and hiring talent specifically from Latin America.