Quantitative Trader

2 weeks ago


London, Greater London, United Kingdom 4d309371-56ac-407c-aa1a-7552af1c4197 Full time £800,000 - £1,200,000 per year

Job Description
How Markets Should Be
Traditional financial markets are broken. We are fixing them.

This is the first perpetual futures exchange to allow 24/7, high leverage on traditional financial assets.

Our vision:
this kind of exchange will replace the entire $100bn TradFi exchange, clearing and brokerage industry

Overview
We are seeking an exceptional and highly motivated Quantitative Trader with direct experience in a high-frequency or proprietary trading environment to join our internal market-making team.

This is a hard problem
: we will quickly form a large proportion of the out-of-hours trading volume on traditional assets, and will be among the first to quote them over the weekend.

As the team grows, we will also look to leverage our stack to monetize venues outside "Client".

This is an opportunity to leverage your existing expertise in a high-impact environment, learn from some of the best minds and the business, and contribute directly to the firm's success.

What You'll Do

  • Live Strategy Management: Oversee the real-time performance of automated market-making systems, ensuring strategies operate within defined risk and performance parameters.
  • Signal Research: Analyze large, high-frequency datasets to identify new market signals, pricing inefficiencies, and structural advantages.
  • Execution Research: Conduct in-depth statistical analysis on trading performance, market microstructure, and execution quality to drive continuous improvement.
  • Collaboration with Engineering: Work closely with core engineering teams to specify requirements for low-latency infrastructure, data pipelines, and deployment frameworks.

What You'll Need

  • Direct Experience: 1 to 4 years of hands-on experience as a Quantitative Trader or Researcher at a proprietary trading firm on automated market-making strategies.
  • P&L Responsibility: Demonstrated ability to contribute positively to trading P&L, even in a junior capacity, with a clear understanding of the drivers of trading performance.
  • Education: A STEM degree from a University that is highly ranked in your home country (at the level of Oxbridge/Imperial in the UK, HYMPS in the US, or a top IIT in India).
  • Python Proficiency: Good proficiency in Python, including data science libraries.
  • Data Analysis: Experience with large-scale, high-frequency time-series data, including cleaning, processing, and statistical inference.
  • Flexible Working: Willingness to work at unsocial hours on a shift basis, including weekends.

Bonus Points

  • Programming Proficiency: In a high-performance language like Rust, Go, C or C++.
  • Operating Systems: Experience working in a Linux/Unix environment and familiarity with shell scripting.
  • Crypto Exchange APIs: Experience making strategies to connect to crypto exchanges.

Interview Process
Founder Calls (2x30 mins)
- non-technical, learn about our vision, share your story.

Technical Call (30 mins)
- mixture of technical questions, fitted to your background.

On-site deep dive
- mixture of general trading-related questions and coding exercises.

Offer
- we decide fast (usually within 24h).

Summary
This is well-positioned to become the leading exchange for traditional assets. Our initial offshore strategy targeting retail flow will enable organic liquidity growth. Upon CFTC licensing, we plan to capture significant institutional flows currently trading on US futures exchanges, offering 24/7 trading, higher margin efficiency, and reduced rolling costs.

Required Skills
['Python']

Additional Information

Quant Trader/Researcher from top HFTs/Crypto firm.


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