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Investment Analysis Intern information

What is the difference between Investment Analysis Intern vs Financial Analyst Intern?

AspectInvestment Analysis InternFinancial Analyst Intern
Required CredentialsTypically pursuing finance, economics, or related degree; some certifications like CFA are a plusSimilar educational background; certifications like CFA may be advantageous
Work EnvironmentFinancial firms, investment banks, asset management companiesCorporations, banks, consulting firms
Employer & Industry UsageUsed in investment-focused roles, analyzing securities and marketsUsed in broader finance roles, analyzing company financials and budgets

Investment Analysis Interns focus on evaluating securities and market trends to support investment decisions, while Financial Analyst Interns analyze company financials for broader financial planning and reporting. Both roles require similar educational backgrounds and are common in finance-related industries, but they differ in specific focus and work environment.

What are the key skills and qualifications needed to thrive as an Investment Analysis Intern, and why are they important?

To thrive as an Investment Analysis Intern, you need strong analytical abilities, proficiency in financial modeling, and a solid foundation in finance or economics, typically supported by relevant coursework or a related degree. Familiarity with Excel, Bloomberg Terminal, and financial databases, as well as basic knowledge of tools like Python or R, is often required. Attention to detail, effective communication, and a proactive attitude are standout soft skills in this role. These skills and qualities are essential for producing accurate analyses, contributing valuable insights, and collaborating effectively within an investment team.

What does an Investment Analysis Intern do?

An Investment Analysis Intern supports investment teams by researching financial data, analyzing market trends, and assisting in evaluating potential investment opportunities. They often help prepare reports, build financial models, and attend meetings to gain exposure to investment strategies. This role provides hands-on experience in financial analysis and helps interns develop key skills needed for a career in finance or investment management.

What types of projects and tasks can an Investment Analysis Intern expect to work on during their internship?

As an Investment Analysis Intern, you'll typically assist with tasks such as conducting financial research, analyzing market trends, building financial models, and preparing reports for senior analysts. You may also help evaluate investment opportunities, support due diligence processes, and participate in team meetings to discuss findings. Interns often collaborate closely with analysts and portfolio managers, gaining hands-on experience and exposure to real investment decisions. This role offers an excellent opportunity to develop analytical skills and gain insight into the investment decision-making process.
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Investment Analysis Intern jobs near you
Infographic showing various Investment Analysis Intern job openings in the United States as of June 2026, with employment types broken down into 20% Full Time, and 80% Part Time. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.
Data Analytics & AI Intern / Analyst - Castle Park Investments

Data Analytics & AI Intern / Analyst - Castle Park Investments

Castle Park Investments, LLC

Manhattan, NY • On-site

Full-time

Posted 6 days ago

Job description

Castle Park Investments is seeking a tech-driven analyst to join our data and technology team, reporting directly to Kutay Gozalan, VP of Data & Technology. This role is ideal for a current student, recent graduate, or early-career professional passionate about transforming real estate operations through data analytics and artificial intelligence.
We are open to candidates at various stages-whether you're a senior undergraduate, a graduate student, or a recent graduate ready to hit the ground running. For current students, we're looking for someone with a manageable course load who can commit approximately 20 hours per week (with some flexibility). For those who perform well, this internship is designed to convert into a full-time position.
You will play a pivotal role in enhancing our portfolio-wide KPI tracking, building machine learning pipelines, and leading the integration of AI tools to optimize processes across our 4,500+ unit portfolio spanning manufactured housing communities, RV resorts, and campgrounds in 9 states.
Key Responsibilities:
• Create data collection pipelines from property management systems into our cloud-hosted storage environment.
• Identify, pilot, and implement AI-powered tools to automate workflows in marketing, leasing, maintenance, and investor reporting. Be the internal champion for AI adoption across all departments.
• Build internal business intelligence tools, including automated Excel reports using SQL queries and custom live dashboards deployed through AWS CloudFront, leveraging AI-assisted coding tools.
• Deploy automated machine learning pipelines, supported by AI tools, to interpret and summarize data, surface trends, and enhance decision-making.
• Partner with operations, acquisitions, and investor relations teams to translate data insights into actionable business decisions.
Requirements
Qualifications:
• Current senior pursuing a Bachelor's degree, graduate student, or recent graduate in Data Science, Business Analytics, Computer Science or Engineering, or Software Engineering.
• For current students: ability to commit approximately 20 hours per week (flexible based on course load and availability).
• Strong analytical and problem-solving skills.
• Foundational experience with business intelligence tools such as Tableau, Power BI, Google Looker, or similar.
• Strong SQL and Python skills, including experience with API integrations and data analytics libraries such as Pandas and NumPy.
• Passion for AI and emerging technologies with a track record of self-driven learning and experimentation.
• Strong communication skills-ability to translate complex technical concepts for non-technical stakeholders.
• Self-starter mentality; thrives in fast-paced, entrepreneurial environments with minimal supervision.
Preferred Qualifications:
• Basic JavaScript knowledge and experience with front-end web development, ideally using Node.js.
• Experience using AI tools such as Claude Code to build BI tools or other applications.
• Familiarity with cloud computing, preferably on AWS.
• Experience working in IDEs like Visual Studio Code.
Benefits
• Be part of a fast-growing real estate investment platform that is redefining attainable housing across the U.S.
• Work hands-on with industry-leading AI and data-driven solutions applied directly to real estate ownership and operations.
• Collaborative, entrepreneurial environment with a clear path to full-time employment.
• Competitive compensation and benefits package.

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