Senior Quant Researcher - Systematic Equites
at Maven
Posted 17 days ago
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Senior quant researcher role on a systematic alpha team focused primarily on equities. Collaborate with researchers to design trading strategies and signals, participate in risk management and trading operations, and support the end-to-end investment pipeline. Requires strong mathematical and machine learning expertise, extensive Python programming experience, and at least five years of alpha research, portfolio construction or execution experience. The role emphasizes a flexible, technology-driven research environment and cross-disciplinary collaboration.
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Full Job Description
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
