Senior Analyst - Research and Investment Strategy

The Amherst Group's companies are comprised of leading real estate investment and advisory firms with a mission to transform the way real estate is owned, financed and managed.  Amherst leverages its proprietary data, analytics, technology, and decades of experience to seek solutions for a fragmented, slow-to-evolve real estate ecosystem and to materially improve the experience for residents, buyers, sellers, communities, and investors.  Today Amherst has over 1000 employees and $14.1 billion in assets under management.

Over the past decade, Amherst has scaled its platform to become one of the largest operators of single-family assets and has acquired, renovated, and leased more than 46,000 homes across 32 markets in the U.S.  The firm delivers customized, stabilized cash-flowing portfolios of assets to its investors, wrapped in all the ongoing services required to manage, own, and finance the asset including property management, portfolio management, and a full capital markets team.  In addition to its single-family rental platform, Amherst’s debt business pursues two distinct credit strategies in mortgage-backed securities and commercial real estate lending.  Over its 25-year history, Amherst has developed a deep bench of research and technology talent, and leverages data and analytics at every stage in the asset lifecycle to improve operations and preserve long-term value for our investors and the more than 188,000 residents the firm has served.

• Model Maintenance: Maintain and regularly update existing investment models, ensuring data accuracy and timely refreshes.
• Data Support: Gather, validate, and organize data from multiple sources to support ongoing investment analysis.
• Reporting Assistance: Assist in preparing recurring investment reports and presentations for internal stakeholders.
• Performance Tracking: Monitor and update key portfolio metrics, comparing performance against established benchmarks and targets.
• Analysis Support: Conduct basic market research and data analysis to support the Investment Strategy team’s decision-making process.
• Visualization Development: Create and update charts, graphs, and dashboards to communicate investment insights effectively.
• Documentation: Maintain comprehensive documentation of data sources, analytical methodologies, and model assumptions.

Desired Skills/Qualifications:

• Bachelor’s degree in finance, Economics, Data Science, Statistics, or a related quantitative field.
• 0–2 years of experience in an analytical, research, or financial role; exposure to real estate investment analysis is a plus but not required.
• Strong proficiency in Microsoft Excel, including formulas, pivot tables, and data analysis; experience with macros and VBA is a plus.
• Familiarity with data analysis tools such as Python, R, or SQL, with the ability to independently run analyses and modify existing code.
• Experience with data visualization tools like Tableau or Power BI is a plus.
• Proficiency in Microsoft PowerPoint, with the ability to develop clear, data-driven presentations.
• Exceptional attention to detail and organizational skills.
• Strong communication skills and the ability to work collaboratively in a team environment.
• A proactive mindset with a strong desire to learn and grow analytical skills within an investment context.

Our full-time employee benefits include:

• A competitive compensation package, annual bonus, 401k match

• Flexible PTO including 7 paid holidays, 1 floating holiday, and 1 volunteer day

• Employer-paid benefits (medical, dental, vision, health savings account)

• Professional career development and reimbursement

• Up to 16 weeks paid maternity leave; up to 4 weeks of paid parental leave

• Backup childcare offered through Bright Horizons

​Amherst is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status, and encourage all applicants to apply.