Trading Analyst

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, and support high-profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also operates Wintermute Ventures, which invests in early-stage DeFi projects.

Founded in 2017, Wintermute blends the technology standards of high-frequency trading firms in traditional markets with the innovative, entrepreneurial culture of technology startups. We view digital assets as a long-term opportunity and are committed to building an innovative and compliant market.

Working at Wintermute

We are looking for a Trading Analyst with strong Python coding skills and a curiosity about high-frequency trading (HFT), market making, and crypto trading. You will work closely with traders on the trading floor to expand and improve trading activities across multiple markets and strategies. You will learn from the team and be at the center of the action, from supporting trading to liaising with developers, while keeping in mind automation and scalability. You will also support the middle office team in improving trade settlement and reconciliation processes.

Responsibilities

• Collaborate with traders on the trading floor to expand and enhance trading activities across multiple markets and strategies.
• Provide hands-on support for trading operations and liaise with developers to implement improvements.
• Focus on automation and scalability to optimize processes and workflows.
• Support the middle office team in improving trade settlement and reconciliation processes.

Qualifications & Requirements

• Strong Python programming skills.
• Curiosity about high-frequency trading, market making, and crypto trading.
• Ability to work closely with traders and communicate effectively with developers.
• Interest in automation, scalability, and operational efficiency in trading environments.