Low Latency Quantitative Researcher

<p>Tudor’s Macro Pipeline team seeks a <strong>Quantitative Researcher</strong> to work within a low latency trading team that currently researches and builds low latency trading models in the liquid futures space.&nbsp; The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals and strategies with short to medium horizon.&nbsp; Suitable candidates will generally have at least 3 years of comparable research experience.</p> <p><strong>Requirements</strong></p> <ul> <li>3+ years of experience researching low latency futures signals and strategies</li> <li>An advanced degree (MSc or PhD) from a top institution is preferred</li> <li>Strong preference for advanced degrees in a quantitative field (e.g. Statistics, Machine Learning, Physics, Mathematics, or Engineering)</li> <li>Excellent understanding of probabilities, statistics and optimization</li> <li>Experience manipulating large datasets, including tick-level data</li> <li>Excellent programing skills: experience with both high-level (e.g. Python, R, Julia) and lower-level languages (e.g. C, C++) with fluency in at least one.</li> <li>High attention to detail</li> <li>Creative thinker</li> <li>Entrepreneurial spirit. Enjoys ownership of projects and takes responsibility for them</li> </ul> <p><strong>Compensation</strong></p> <ul> <li>Annual base salary for the position is expected to be from $150,000 per year to $250,000 per year. Actual salary offered to the successful candidate will depend on various factors including, but not limited to, geographic location, work experience and credentials, and/or skill level, the salary expectations of applicable applicants, and other market conditions. Details about eligibility for bonus compensation will be finalized at the time of offer.</li> </ul> <p><strong>Location</strong></p> <ul> <li>New York, NY, London, Singapore</li> </ul>