Senior Quant Researcher - Systematic Equites

Posted Yesterday
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London, Greater London, England
Senior level
Financial Services
The Role
The Senior Quant Researcher will collaborate with researchers to design new trading strategies and signals, participate in risk management and trading operations, and gain exposure to the full investment pipeline. Requires advanced mathematical and programming skills, particularly in Python, along with significant experience in alpha research and trading operations.
Summary Generated by Built In

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.

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.

What we're looking for:

  • 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.
  • Required programming skills: good knowledge of modern Python and its numerical, stats and machine learning packages; multiple years of practice. Skills in other programming languages are also appreciated. Familiarity with Linux systems, various databases, understanding of algorithm design and complexity.
  • Research: minimum 5 years of experience in alpha research (including data exploration and feature engineering), portfolio construction and/or execution. Understanding of extraday and intraday particularities. Main focus is on equities, knowledge and practice of ETFs, futures, FX or option trading is considered too.

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

Top Skills

Python
The Company
HQ: London
314 Employees
On-site Workplace
Year Founded: 2011

What We Do

Maven implements both fundamental and quantitative trading & market making strategies across global financial markets, utilising only the group’s capital. We see ourselves just as much a technology firm as a multi-strat trading firm.

We aim to equip our traders with the best tools we can. We channel the advances in computer learning, processing power and network capacity into streamlining and improving all aspects of the trading operation, from front office to settlements. This is paired with meticulous and attentive execution and conservative risk management.

If you would like to learn more about working at Maven please visit: https://www.mavensecurities.com/work-at-maven/

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