Senior Quant Researcher - Systematic Equites

Maven; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading company in London is seeking a Senior Quant Researcher to join their Systematic Alpha team. The role involves designing innovative trading strategies and signals, participating in risk management, and having exposure to the entire investment pipeline. Ideal candidates will have a strong background in mathematics or computer science, advanced programming skills, and significant experience in alpha research. The company offers a flexible and collaborative environment, emphasizing creativity and technological advancement.

Benefits

Flexible research environment

Collaborative culture

Opportunity for decision-making involvement

Friendly and informal culture

Qualifications

• Minimum 5 years in alpha research, portfolio construction, or execution.
• Proficiency in Python and its statistical/machine learning packages.

Responsibilities

• Design new strategies and trading signals collaboratively.
• Participate in risk management discussions and trading operations.

Skills

Mathematics

Computer Science

Physics

Engineering

Machine Learning

Statistics

Signal Processing

Optimisation Theory

Advanced Linear Algebra

Education

PhD

Master's Degree

Tools

Python

Linux

Job description

Senior Quant Researcher - Systematic Equities

London

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 with 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 in capitalising 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 and have responsibilities in trading operations. You will have exposure to the entire investment pipeline.

What we're looking for:

• Background in Mathematics, Computer Science, Physics, or Engineering.
• PhD or Master’s degree from a high-ranking university.
• Required Mathematical skills: Advanced linear algebra, optimisation theory, statistics (including time series and high-dimensional data), machine learning, and signal processing.
• Required programming skills: Proficiency in modern Python and its numerical, statistical, and machine learning packages, with multiple years of practice. Skills in other programming languages are also appreciated. Familiarity with Linux systems, various databases, and understanding of algorithm design and complexity.
• Research experience: Minimum of 5 years in alpha research (including data exploration and feature engineering), portfolio construction, and/or execution. Understanding of extraday and intraday particularities. Main focus on equities; knowledge and practice of ETFs, futures, FX, or options trading are considered a plus.

Why you should apply:

• A flexible research environment where technology is key to our success.
• Opportunity to be highly involved in decision-making that shapes 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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