Graduate Quant Researcher 2026

About the Company:

Wintermute is a leading crypto native algorithmic trading company specializing in digital assets. We offer liquidity services on various cryptocurrency exchanges and trading platforms, OTC trading solutions, and support for high-profile blockchain projects and traditional financial institutions venturing into the crypto space. Wintermute Ventures also invests in early-stage DeFi projects.

Established in 2017, Wintermute has thrived through industry cycles by blending the technology standards of high-frequency trading firms with the innovation and entrepreneurial spirit of technology startups. Embracing blockchain's innovative potential, Wintermute takes a long-term view of the digital asset market and strives to spearhead innovation in a compliant manner.

Working at Wintermute:

We are seeking a Graduate Quantitative Researcher to join us in Summer 2026. The ideal candidate will possess strong quantitative and coding skills, particularly in Python. In this role, you will play a pivotal part in advancing our quantitative business by exploring a range of technologies (CeFi, DeFi) and trading products (spot, derivatives, ETPs, etc.). Collaborating with researchers, traders, and developers, you will aid in creating trading strategies and enhancing existing algorithmic trading operations under the mentorship of experienced professionals. This position affords substantial independence and responsibility from the outset, offering unparalleled learning opportunities devoid of legacy systems or corporate red tape.

Key Responsibilities:

• Contribute to enhancing high-frequency trading strategies.
• Utilize statistical methods to develop short-term signals across various trading products and technologies.
• Lead research initiatives to refine signals and optimize parameters through extensive backtesting.
• Analyze historical market data at the tick level to identify trading patterns and opportunities.
• Conduct simulations and model markets for both liquid and illiquid assets.
• Enhance and maintain supporting infrastructure using Python.

Required Skills:

• A degree in Mathematics, Statistics, Computer Science, Physics, or a related field, with advanced Python coding proficiency.
• Experience and in-depth understanding of statistics and probability theory.
• Familiarity with Machine Learning concepts.

Quant Trader Track:

• Background in market making, including signal design and high-frequency/mid-frequency trading strategies.

Quant Research Track:

• Experience in developing machine learning algorithms, establishing automated pipelines for testing, implementing version control systems, and visualizing training procedures.

Desired Skills:

• Proven track record in global mathematics, Kaggle, and programming competitions.
• Familiarity with C++ and a deep grasp of Machine Learning techniques.

Why Join Us:

• Be part of a globally renowned algorithmic trading firm.
• Engage in challenging projects with accelerated growth opportunities and ownership.
• Experience a vibrant working culture with team events, gaming sessions, and company-wide team-building activities.
• Enjoy a Wintermute-inspired office in central London, fostering relaxation and team interaction with games and personalized workspaces.