Multifamily Asset Management Analyst -or- Senior Analyst (San Antonio, TX)

Company Overview

Along with its affiliate companies, Affinius Capital invests across the risk spectrum for a global client base, managing over $61 billion in gross assets under management within a diversified portfolio across North America and Europe. Affinius Capital provides strategic equity and debt capital, including to capitalize on the accelerating demand for technology-driven real estate assets, to meet the critical need for housing solutions, and for other market and capital structure opportunities exhibiting compelling risk-return characteristics. For more information, visit affiniuscapital.com.

Job Description

Why This Role:

The Analyst/Senior Analyst plays a critical role on the Multifamily Asset Management team by delivering timely, accurate reporting and actionable insights that support investment decision-making and property-level execution. This role works directly with senior asset managers and partners with third-party property management teams to monitor performance, execute financial analyses, and support valuations and business plans on a national multifamily portfolio, while improving recurring processes through better templates, automation, and responsible use of AI tools.

 

What You Will Do:

• Monitor market fundamentals such as rents, occupancy, supply/demand, competitors, and capital markets via research and travel to assigned markets, and summarize implications for pricing, leasing, and business plan execution.
• Build and maintain financial models and analyses inclusive of multi-year revenue/expense/capex projections, DCFs, IRRs, equity multiples, and promotes to evaluate strategies and support investment decisions.
• Own recurring property and portfolio level deliverables (monthly/quarterly reporting, business plans, investor requests) with a focus on accuracy, timeliness, and clear storylines that explain performance drivers.
• Support quarterly valuation processes by maintaining Argus models, validating key assumptions, and coordinating inputs for internal and third-party appraisal workflows.
• Coordinate annual budgeting and ongoing forecasting; prepare variance and reforecast analyses that translate operational detail into concise implications, risks, and recommended actions.
• Partner with property management to track and drive resolution of key property-level issues and initiatives, bringing structure, follow-up, and analysis that accelerates outcomes.
• Continuously improve repeatable reporting and analytical workflows by enhancing templates, improving data quality checks, and leveraging LLM/AI tools responsibly to reduce manual effort while maintaining confidentiality and accuracy.
• Contribute to cross-functional projects (Portfolio Management, Dispositions, Acquisitions, Development, Capital Markets), providing analytical support and disciplined execution as needed.
• Additional duties as assigned.

Growth & Development: 

• Support for professional development, including Argus/excel training, industry conferences, and industry credentials.
• Direct mentorship from senior asset management leadership and exposure across the investment lifecycle to foster success in your current role and career advancement.

Requirements

• Bachelor’s Degree in Finance, Real Estate, Economics, or related field. Masters degree preferred.
• 1–3 years in multifamily asset management or related experience in real estate finance/analytics with transferable responsibilities. Master’s degree in related field may substitute for experience.
• High level of proficiency in Excel, including advanced functions, financial modeling, and data manipulation.
• Solid understanding of financial analysis concepts; familiarity with multifamily revenues and expenses is preferred.
• Experience with Argus Enterprise and PowerBI preferred.
• Ability to travel and ability to regularly work extended hours as needed.
• Willing to work onsite full time.
• Qualifications may warrant placement in a different job title.

Key Competencies:

• Proven ability to use LLM/AI tools responsibly to improve productivity, while maintaining data quality and confidentiality.
• Exceptional attention to detail, strong organizational skills, and analytical thinking to support accurate reporting and decision-making.
• Strong communication skills with the ability to translate complex analysis into actionable insights for non-technical stakeholders.
• Ability to manage multiple priorities, meet competing deadlines, and adapt to a fast-paced, collaborative environment.
• Intellectual curiosity and a proactive approach to problem-solving, process improvement, and continuous learning.