Quantitative Researcher

About Wintermute

At Wintermuteour mission is to enable, empower and advance the truly decentralized world for more transparent and efficient markets and products.

We do this by providing liquidity algorithmically across most trading venues in crypto, supporting all major centralized and decentralized trading venues, AMMs, RFQs, aggregators and chains. Wintermute is also offering best-in-class OTC products to crypto native as well as traditional financial institutions.

Wintermute is actively participating in the building and development of the blockchain ecosystem through investments from Wintermute Ventures, partnerships and co-development with upcoming protocols and incubation of own projects. We act as official market makers for a large number of the world’s highest profile blockchain projects.

Wintermute is a hyper-growth highly profitable business with a very ambitious vision and roadmap. We manage billions of dollars in assets and trade more than $5B/day. We are backed by Lightspeed, Pantera Capital, Sino Global Capital, Blockchain.com Ventures, Avon Ventures by Fidelity Investments, DeFi Allianceand other top tier investors. We are run as a technology company, not a financial service provider, and we build our culture around core values of ambition, collaboration, entrepreneurship, transparency and meritocracy.

Working at Wintermute

We are looking for a Quant Researcher with strong modelling and coding skills (Python). At Wintermute, you will be responsible for scaling and bringing our quantitative business to the next level, it will cover all technologies (CeFi, DeFi), trading platforms and products (spot, derivatives, ETPs, etc.). You will have the opportunity to develop your own strategies and improve existing algorithmic trading activities. While owning your quant desk, you will work very closely and collaboratively with algorithmic traders and our core development team. You will get advice and guidance from very experienced traders and developers, including the founders/management team. 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, it is up to you to make an impact

Responsibilities

• Design and implement predictive black box quant trading market making as well as taking models


• Apply statistical modelling/research methodology, including both regression and machine learning to add signals with a time horizon from 1ms to several seconds


• Lead research efforts to improve signals, optimise parameters with 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 estimate market impact of quantitative models, for both liquid and illiquid assets


• Implement and maintain black box trading models 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


• Advanced Python coding skills, high-level understanding of C++ is a plus, other analytical tools and languages may be a plus


• Experience with machine learning

Nice to have skills

• Experience of developing black box quant trading models with a short time horizon in a top tier quantitative firm in traditional finance. Crypto algorithmic trading experience is beneficial but not required.

Wintermute offer

• A unique opportunity to work on very interesting projects, get the level of responsibility and ownership that would take 5-10 years longer to get in a traditional trading company/bank/hedge fund


• A unique opportunity to join one of the fastest growing and most innovative algorithmic trading companies in the world


• Great culture: highly professional and ambitious, yet informal, non-hierarchical, collaborative and entrepreneurial; we are very flat and hands-on environment - you will work very closely with the CEO, CTO, Head of Trading and the rest of the management team 


• No legacy systems and bureaucracy; access to high performance low latency infrastructure


• A cool office in central London with a sci-fi touch 


• Aligned incentive structure: a significant part of your compensation is performance-based with substantial upside

Tips for Successful Application

• Only apply to us if you are genuinely interested or curious about this role and the space; this is not for someone who is just looking for “a quant job” or is very mercenary


• Write us a short, honest, and direct message if you’d like to apply. Tell us about why you are interested in Wintermute and this role in particular


• Note that we put a lot of thought into the “requirements”, so we will be unlikely to proceed if you do not fit them


• Prepare to be tested on your modelling and coding knowledge