At a Glance
- Tasks: Conduct independent quantitative finance research and develop predictive models.
- Company: Join Cubist Systematic Strategies, a leading firm in systematic trading.
- Benefits: Competitive salary, mentorship from experts, and a collaborative work environment.
- Other info: Diverse team culture welcoming unique personal achievements and interests.
- Why this job: Make an impact in finance while exploring your passion for problem-solving.
- Qualifications: MS or PhD in a quantitative field with strong analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
JOB DESCRIPTION Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands-on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behaviour.
DESIRABLE CANDIDATES
- MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
- 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
- Strong analytical and quantitative skills
- Demonstrated ability to conduct independent research utilizing large data sets
- Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
- Detail-oriented
- Willing to take ownership of his/her work, working both independently and within a small team
We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.
Cubist Quantitative Researcher in London employer: Point72
Point72 is an exceptional employer that prioritises the well-being and professional growth of its employees in the heart of London. With comprehensive benefits including private medical insurance, generous family leave, and wellness programmes, we foster a supportive work culture that encourages career development within a dynamic global investment firm. Join us to be part of a team that values compliance excellence and offers unique opportunities for advancement.
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We think this is how you could land Cubist Quantitative Researcher in London
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We think you need these skills to ace Cubist Quantitative Researcher in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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