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Prediction Markets Trader

Open 17d reposted 2× · 2 open copies

Summary

Trades prediction markets in real time across venues like Kalshi and Polymarket, building and refining the trading stack while covering high-activity events.

About Wintermute
Wintermute is one of the largest algorithmic trading companies in digital assets. We provide liquidity algorithmically across all major 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. Wintermute is not just a trading company, it is one the most prominent and influential players in the digital asset markets: we are connected and partnering with all major players in the industry, we actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. You can read more here.
What will you work on
You will be responsible for monitoring and trading prediction markets in real time across Kalshi, Polymarket and other venues; implementing strategies across categories such as sports, upDown markets, elections and weather.
You will be hands-on, improving the whole stack. Predictions is a greenfield project within Wintermute and you will have lots of freedom to build the system you want. You'll have to wear many hats and provide coverage for key events, for example major sports games where market activity is heightened, and can fall on evenings or weekends.

Hard Skills Requirements:

  • Strong Python skills - you have 1-3 years of experience coding in Python, be that through work, study or personal project experience - we will test!

  • Excellent quantitative and analytical skills - we will test!

  • Demonstrated interest in prediction markets - you are engaged in the space (personal trading, following major developments, contributing to discussions, etc.)

  • Have an owner mentality - you focus on the ultimate result - P&L for the company and strategically growing the business and Wintermute partnerships.

  • Love problem solving, and love seeing your products work; you do whatever it takes to do what’s needed (trading, coding, analysing data, collaborating).

  • Determined, ambitious yet humble, willing to work hard and learn on the way.

  • Like meritocracy and being judged by what you deliver.

  • Like working in a collaborative environment.

Here is why you should join our dynamic team:

  • Opportunity to work at the world's leading algorithmic trading firm in digital assets.
  • Engaging projects offering accelerated responsibilities and ownership growth compared to traditional finance environments.
  • Great company culture: informal, non-hierarchical, ambitious, highly professional yet with a startup vibe, collaborative and entrepreneurial.
  • A performance-based compensation with a significant earning upside alongside standard perks like private medical insurance

Note:

  • This will a remote position with occasional travel as required to our London and New York offices.

What this application asks

lever

Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website, Codeforces (or similar) profile URL

  • Why are you interested in working at Wintermute? written answer
  • Why are you interested in this role, and what makes you a good fit? written answer
  • Why are you interested in Algorithmic trading? if applicable, please describe any trading related projects you have worked on written answer
  • How many years of Python coding experience do you have? choose one
  • Please put your Polymarket account number / address below. optional
  • Please comment where are you currently based and where you have work authorizations (specifying citizenship/PR status)
  • Location preference choose one · optional
  • What is your notice period? (if you are still in education, please write when you are available to start a full-time role) written answer
  • Do you have a non-compete? (if yes, please explain) written answer · optional
  • Where did you hear about this vacancy? choose one · optional

See also

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