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Algorithmic Trading Internship (Summer 2026)

Wintermute-trading

Estimated Salary: $105K-$175K
Location: London
About Wintermute Wintermute is one of the largest crypto-native algorithmic trading companies in digital assets. We provide liquidity algorithmically across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as support high profile blockchain projects and traditional financial institutions moving into crypto. We actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. Wintermute was founded in 2017 by industry leaders and has successfully navigated multiple crypto industry cycles. Culturally, we combine the best of two worlds: the technology standards of a traditional high-frequency trading firm and the innovative and entrepreneurial culture of a technology startup. Read more here . Working at Wintermute    We are looking for an Algorithmic Trader Intern with strong coding skills (Python) and a curiosity about HFT, market making and crypto trading. You will have the opportunity to work closely with very experienced traders and developers, including the founders/management team whilst working on some really exciting projects. You will get a lot of independence and responsibility right away, and you'll learn at an unprecedented speed! No legacy systems, no corporate bureaucracy, no multiple levels of approvals. It is up to you to make an impact. What will you work on The opportunity could involve: improving existing strategies and adding new trading products, as well as improving the technology behind the trading.  You’ll need to analyse large amounts of trading and transaction data, generate insights, prioritise them and build solutions based on your findings. We will share more technical details in the interviews. The point is: there is no limit set by the company! Note: we are looking for people with strong quantitative and coding skills, but this is a business/trading (not a Quant/ research) role first and foremost.
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