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Senior Quant Researcher - Systematic Equites

External
Full-timeOn-site3w ago
Feature EngineeringLinearLinuxMachine LearningPythonRisk Management
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About the role

Work collaboratively with other researchers to design new strategies and trading signals. Participate in risk management discussions, have responsibilities in trading operations. Have exposure to the entire investment pipeline.

Requirements

  • Background: Mathematics, Computer Science, Physics or Engineering.
  • PhD or Master degree in a high rank university.
  • Required Mathematical skills: Advanced linear algebra, optimisation theory, statistics (time series and high-dimensional) and machine learning knowledge, signal processing.
  • Why you should apply:
  • A flexible research environment whereby technology is key to our success
  • Opportunity to be highly involved in the decisions that shape our trading
  • A collaborative environment where you're empowered and supported to achieve your ambitions
  • The upside of start-up without any of the associated risks
  • Great, friendly, informal and highly rewarding culture

Benefits

Flexible schedule

Additional Information

What we do: 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. We value creativity and are aggressive to capitalise on opportunities. We take proven strategies to the next level by integrating them across diverse alphas and time horizons using cutting-edge execution technology.


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