Join Our Team

Gondola Capital is a rapidly growing FinTech alternative investment firm with offices in Raleigh NC, Naples FL, and Vail CO. We are passionate about delivering investment returns to our clients which include RIAs, Family Offices, and Institutions. The Gondola Capital Portal offers a diversified suite of carefully curated alternative investments across a broad spectrum of asset classes and investment styles. Are you ready to join our cutting edge team of industry leading professionals?

Alternative Investment Specialist

At Gondola Capital, we consider it a great privilege and responsibility to help allocators participate in alternative investment opportunities across the global financial markets.  The Gondola Capital Platform offers a diversified suite of alternative investments across a broad spectrum of private market deal structures including private equity, venture capital, direct investments, and co-investments.  Qualified candidates will be responsible for building and maintaining relationships with financial intermediaries such as RIAs, Family Offices, and Institutions.  Additional activities include providing technical information on the Gondola Capital Platform, demonstrating a strong knowledge of alternative investments, financial markets and industry related topics. The ideal candidate would also act as a consultant in the areas of portfolio construction and asset allocation.

Education BS / BA Required
Certification Series 7 Required; CFA or CAIA Preferred
Experience 3-5 years of alternative investments experience
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Data Scientist

At Gondola Capital, data is the foundation for all decisions.  As part of our Data Science team, you’ll be on the front lines leveraging advanced analytic tools and processes to surface actionable insights for internal stakeholders and partners.  To further accelerate our business, you’ll be creating and optimizing machine learning algorithms that provide predictions on which leads are most valuable for our sales team to follow up with. The ideal candidate will be responsible for performing complex analyses, creating advanced visualizations, applying advanced predictive analytics and machine learning techniques.

Education Masters degree required in Machine Learning, Applied Math, Computer Science, Economics, Statistics, or a related quantitative field
Experience 2 to 5 years’ experience in building machine learning algorithms and predictive models
Skills Python, R, SQL, Excel preferred
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