Analyst/ Associate

About the Role

The Gaming & Lodging team covers over 30 publicly listed companies including Sports Betting Operators, Hotels, Casinos, and REITs. This position supports team needs including financial analysis, modeling, and writing company and industry updates and reports, with a particular focus on high frequency data analysis and trends.

Key Responsibilities

• Perform financial modeling & valuation work
• Update, analyze, and compile complicated datasets in databases using Excel
• Derive key insights from data trends and analysis
• Monitor, compile, and summarize/model key industry news and developments including via social media
• Seek out new, unusual sources of information to augment research capabilities/insights
• Write and update company and industry data reports and trends
• Closely follow and understand stock market, industry, and company specific activity, and relay to the analyst when he/she is traveling
• Develop industry knowledge and business judgment over time

Requirements & Tech Stack

• Financial Modeling & Valuation: Experience with financial/3-statement modeling (income statement, balance sheet, cash flow statement).
• Data Analysis: Ability to update, analyze, and compile complicated datasets in databases.
• Tools: Proficiency in MS Excel is essential.
• Skills: Strong attention to detail, and understanding of MS Office for formatting charts, tables, and exhibits. Knowledge of math, statistics, and/or data analytics/data science techniques.
• Additional Skills (a plus): Experience with AI prompting and Python programming.
• Market Interest: General interest in the stock market and/or financial markets.
• Work Environment: Must work well in a fast-paced, intense, and collaborative team environment.

Qualifications

• Bachelor's Degree or equivalent years of experience.
• For finance candidates: Minimum 9-12+ months of front-end financial experience in investment banking, equity/debt research, corporate finance, accounting, or consulting.
• Intellectual Curiosity: Competitive and intellectually curious.
• Communication Skills: Possesses good communication skills.
• Helpful and interesting additional experience: Data or computer science, statistics, math, Python, and AI prompting.