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Senior Quant Researcher - Systematic Equites

Job in City Of London, Central London, Greater London, England, UK
Listing for: Maven
Full Time position
Listed on 2025-12-30
Job specializations:
  • Software Development
    Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: City Of London

Senior Quant Researcher - Systematic Equities

London

Overview

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.

Responsibilities

The Role:

  • Work collaboratively with other researchers to design new strategies and trading signals.
  • Participate in risk management discussions and have responsibilities in trading operations.
  • Have exposure to the entire investment pipeline.
Qualifications
  • Background:
    Mathematics, Computer Science, Physics or Engineering.
  • PhD or Master degree from a high-ranked university.
  • Mathematical skills:
    Advanced linear algebra, optimisation theory, statistics (time series and high-dimensional) and machine learning knowledge, signal processing.
  • Programming skills: strong knowledge of modern Python with numerical, statistics and machine learning packages; several years of experience. Skills in other programming languages are appreciated. Familiarity with Linux systems, databases, understanding of algorithm design and complexity.
  • Research experience: minimum 5 years in alpha research (including data exploration and feature engineering), portfolio construction and/or execution. Understanding of intraday and extraday specifics. Primarily equities; knowledge of ETFs, futures, FX or option trading is considered as well.
Benefits / Why you should apply
  • A flexible research environment where technology is key to success.
  • Opportunity to be highly involved in decisions that shape our trading.
  • A collaborative environment where you’re empowered and supported to achieve your ambitions.
  • The upside of a start-up without the associated risks.
  • Great, friendly, informal and highly rewarding culture.
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Position Requirements
10+ Years work experience
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