About the company
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 products 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 the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. Read more here.
Job Summary
Responsibilities:
📍Design and implement predictive quantitative trading market making as well as taking models. 📍Apply statistical techniques to develop short-term signals, with a time horizon from milliseconds to a few minutes. 📍Lead research efforts to improve signals and optimise parameters through back testing, across a wide range of trading products and technologies 📍Proactively identify market microstructure patterns and trading opportunities by analysing vast quantities of tick level historical market data across many markets 📍Run simulations and model market for both liquid and illiquid assets 📍Improve and maintain supporting infrastructure in Python or C++.
Hard Skills requirements:
📍Quantitative degree in Mathematics, Statistics, Computer Science, 📍Physics or related qualitative field. Post-graduate degrees may be a plus, but not expected or required. 📍Experience in market making, including signal design and HFT strategy development. We are also open to candidates with experience in MFT strategies. 📍Advanced Python coding skills. High-level understanding of C++ is a plus. 📍Other analytical tools and languages may be a plus 📍Experience and advanced knowledge of statistics/machine learning/probability theory.
