Why This Role Stands Out
This role offers an exciting opportunity to drive innovation in systematic trading at a reputable firm, with a highly competitive salary range of $150,000 - $250,000 annually. You'll thrive here if you possess strong quantitative research skills, a passion for developing automated trading strategies, and a desire to contribute to impactful projects within a collaborative environment. Apply now to leverage your expertise and advance your career in quantitative finance.
Quick Overview
Job Description
Tudor’s Macro Pipeline team seeks a Quantitative Alpha Researcher to work within a systematic trading team that currently researches, builds and maintains systematic trading models in the liquid futures space. The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals with intraday to daily horizons. Suitable candidates will generally have at least 2-4 years of comparable research experience.
Requirements
- 3+ years of experience researching scalable short and medium-term alpha
- An advanced degree (MSc or PhD) from a top institution is preferred
- Strong preference for advanced degrees in a quantitative field (e.g. Statistics, Machine Learning, Physics, Mathematics, or Engineering)
- Excellent understanding of probabilities, statistics and optimization
- Experience manipulating large datasets
- Excellent programming skills: fluency in Python and R is a must, as is the ability to write efficient code
- High attention to detail
- Creative thinker
Compensation
- 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.
Location
- New York, NY, London, Singapore
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