Venture Capital Technology Intern

College Technology Internship Program - Venture

Capital Intern

Job Title: Venture Capital Technology Intern

Location: 2900 Reading Road, Cincinnati, OH

Salary: $20/hour

About Lightship Anchor Fund

Lightship Anchor Fund is a $2 billion global fund that invests in exceptional fund managers and

founders, especially in areas and communities that are often overlooked. We focus on empowering

the next generation of leaders by using cutting-edge technology like Artificial Intelligence and

innovative strategies to find opportunities and deliver strong financial returns. We’re excited to invite

motivated, tech-savvy individuals to join us as part of the Ohio College Technology Internship

Program.

Position Overview

As a Venture Capital Technology Intern, you’ll have a key role in the Lightship Anchor Fund. You will

connect our firm with Limited Partners (Investors) like pension funds, consultants, and institutional

investors. Using advanced tools such as ChatGPT, and Nasdaq eVestment - Market Lens, you’ll

gather and analyze important data, prepare materials for Investor submissions, and upload fund

information to key Investor portals. This hands-on role will give you the chance to work with

innovative technologies and make a meaningful impact on our team’s success. Applicants should

have a desire to learn these tools, however don’t have to have had experience with them.

Your work will involve gathering and analyzing data, preparing submission materials, and uploading

key fund information to Investor portals, including pension funds, consultants, and institutional

investors.

You will report directly to the Operations Partner, Jennell Lynch, and gain hands-on experience in

private equity, data analytics, and Artificial Intelligence applications.

Student applications are open from January 21, 2025 - Feb. 28, 2025.

Internships effective from June 2, 2025 - Sept. 8, 2025.

Key Responsibilities

Data Analysis & Research:

➢Use Nasdaq eVestment Market Lens and Snowflake to identify potential Investors and

analyze their investment focus and performance trends.

➢Extract and organize relevant data to align with Lightship Anchor Fund’s investment

goals.

Artificial Intelligence:

➢Leverage ChatGPT and custom Artificial Intelligence tools to automate data extraction,

reporting, and Investor outreach processes.

➢Train and optimize Custom GPTs for Investor research, reporting, and submission

materials.

Report Preparation:

➢Collaborate with the team to draft tailored Investor submission materials, including

data-driven insights, pitch decks, and supporting documentation.

➢Automate reporting processes using Python and Snowflake integrations.

Investor Engagement:

➢Upload fund data and materials to Investor portals, ensuring accuracy and timely submissions.

➢Track submissions and engagement metrics, and follow up with institutional investors and

consultants.

➢Document workflows and develop recommendations to streamline and enhance future

Investor engagement processes.

Qualifications

•Enrolled in a business, finance, economics, or technology-related degree program.

•Strong interest in private equity, venture capital, or investment management.

•Technical aptitude with experience or willingness to learn tools such as ChatGPT, Nasdaq

eVestment, and Snowflake.

•Basic Python skills or a desire to develop coding capabilities.

•Strong analytical, organizational, and communication skills.

•Ability to work independently and as part of a collaborative team.

•You must be an Ohio resident attending college anywhere in the United States, or a non-Ohio

resident attending school in Ohio. International students attending schools and universities in Ohio are

welcome, provided they can show proof of eligibility to work in the U.S. and have a valid visa.

What You’ll Gain

•Hands-on experience in venture capital, data analytics, and Artificial Intelligence.

•Exposure to industry-leading tools like Nasdaq eVestment and Snowflake.

•Mentorship from experienced professionals

•Real-world application of Artificial Intelligence and automation in the financial services

industry.