WisdomTree is a leading exchange-traded fund (ETF) sponsor and asset manager that was founded in 2006. The company is known for its innovative approach to investing and has been at the forefront of developing smart beta and thematic investment strategies. WisdomTree offers a wide range of ETFs that cater to various investment objectives and has established itself as a trusted partner for investors seeking to navigate the complexities of the financial markets.

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WisdomTree is seeking an early-career Product Manager to help shape the future of digital investment products and institutional platforms. This is an opportunity to gain hands-on experience from day one as our institutional platform continues to scale and new offerings, including initiatives through our broker-dealer, come to market.In this role, you'll contribute across the product lifecycle, working on UX/UI, APIs, client engagement, and roadmap execution. You'll partner closely with Product, Engineering, Design, and Business teams to help deliver solutions that support institutional clients and digital investment products, while gaining exposure to tokenized funds and modern financial infrastructure.We're looking for someone who is curious, eager to learn, and excited to solve complex problems in a collaborative environment. You'll contribute to meaningful work early in your career, and have opportunities to take on increasing ownership as you grow as a product manager. This role is open to candidates located in the greater New York metropolitan area or within a commutable distance.

Product Manager, Digital Assets (Digital Investment Products)

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WisdomTree is seeking a Quantitative Research Intern to support the development and evaluation of systematic investment strategies. Working closely with the Research team, the intern will apply financial data, statistical methods, and programming skills to investment questions relevant to new and existing WisdomTree products.
The intern will contribute to ongoing research initiatives under the guidance of the team, with opportunities to propose and explore independent research ideas. The role also provides exposure to the practical application of machine learning, AI, and analytical tools in asset management.
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