Quantitative Trader (London/ New York)

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Quantitative Trader (London/ New York) How Markets Should Be Traditional financial markets are broken. We are fixing them. QFEX is building the first perpetual futures exchange to allow 24/7, high leverage on traditional financial assets, as well as a trading firm to support liquidity on those assets. Our vision: this kind of exchange will replace the entire $100bn TradFi exchange, clearing and brokerage industry Our mission: make QFEX that exchange. We were founded by Cambridge mathematicians Annanay Kapila and Joshua Wharton. Annanay was previously a Quant at Tower Research Capital and Josh was an Engineer at Citadel. The team also includes former staff from Jump, Barclays, and more. QFEX raised $9.5m in May from a group of investors including Y Combinator, General Catalyst, Nexus Venture Partners and Paul Graham (as an angel). 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 market-making team. This is a hard problem: we already form a large proportion of the out-of-hours trading volume on traditional assets, and are among the first to quote them over the weekend. This includes both QFEX and other venues. This is an opportunity to leverage your existing expertise in a high-impact environment, learn from some of the best minds in 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 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 degree from a University that is highly ranked in your home country (at the level of Oxbridge/Imperial in the UK, Ivy League 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 Rounds (2x90 mins) - mixture of technical questions, fitted to your background. Please send all enquiries to careers@qfex.com