Maven’s Systematic Alpha team deploys methodically researched strategies across futures, options and equities, utilising some of the most advanced technology available. Our approach to trading is scientific and process driven, with a strong emphasis on a flexible research environment, providing us efficient means to develop, test, and deploy new ideas. We empower our team members and maximise their ability to succeed by offering an environment that is open, collaborative and supportive. 

The role: 

As a Quant Researcher on Maven’s Analyst Programme, you will complete intensive training, and work collaboratively with traders and researchers from various scientific fields and prestigious academic institutions to tackle problems in the computational, data processing, signal generation, and signal combination spaces. We will teach you the skills to develop expertise in doing quantitative research and development across a variety of financial domains and time-horizons including: options, futures, and equities.You will apply your academic research abilities and learn how to perform research on real-world data of varied volume and sampling frequency across a variety of domains. 

Quant Researchers will achieve this through a combination of classroom sessions and real world projects with the opportunity to iterate on ideas quickly and see the impact of their work in production 

What we're looking for: 

  • PhD or Master’s degree in Science, technology, engineering, and mathematics
  • Strong mathematical skills including: statistics, probability, AI/Machine Learning, mathematical programming, optimisation
  • Strong coding skills: Python and familiarity with a variety of statistical packages
  • Enthusiasm to learn about new quantitative and computational methods for solving complex mathematical problems
  • Exposure to real-world data exploration, dimension reduction, and feature engineering
  • Ability to work independently, present new ideas, approaches, and take direction from senior staff 

Why you should apply:

  • Direct exposure and training from industry leaders 
  • A flexible research environment whereby technology is key to our success
  • Freedom to pursue new innovative solutions and implement them into production 
  • A highly collaborative environment giving you the exposure to learn from other areas of the business
  • Great friendly, informal and highly rewarding culture
  • Informal dress code, loads of social events, etc

 

Apply for this Job

* Required
  
  
When autocomplete results are available use up and down arrows to review
+ Add Another Education


Demographic Questions Global

Maven is committed to creating a diverse and inclusive culture for our employees. It is crucial for us to understand the demographics of our candidate pool to measure our recruitment practices. There is no requirement for any candidate to answer our demographic questions. For candidates who complete the questionnaire, their data will be anonymised and aggregated to inform our strategy . Maven is an equal opportunity employer and this data will be used for opportunity monitoring purposes. 

Which gender do you identify with (Select one)





What is your religion or belief (Select one)









What is your sexual orientation (Select one)





What is your ethnic group (Select one)



















Do you need any reasonable adjustments during the recruitment process (Select one)


What type of school did you mainly attend between the ages of 11 and 16 (Select one)







If you went to university (college in the USA) or home country equivalent, were you the first of your family to do so (Select one)




If you finished school after 1980, were you eligible for free school meals at any point during your school years (Select one)