Senior Quantitative Researcher: MFE

The role

The Senior Quantitative Researcher will research, develop, and implement quantitative equity strategies across global developed markets. This role covers the full investment research lifecycle including data acquisition, alpha signal research, portfolio construction, and production implementation.

What you will do

• Conduct quantitative research to develop alpha signals for systematic equity strategies.
• Research and implement cross-sectional equity signals using traditional and alternative datasets.
• Design, test, and improve idiosyncratic, factor-neutral and long/short systematic strategies.
• Evaluate alpha signals and strategies through backtesting, performance attribution, and robustness analysis.
• Apply machine learning methods to investment research.
• Collaborate with portfolio managers, researchers, data engineers, and technology teams.
• Contribute to the development of internal research tools and analytics platforms.
• Stay current with developments in quantitative finance, machine learning, and systematic investing.

Required qualifications

• Advanced degree (Masters or Ph.D.) in a quantitative discipline such as mathematics, statistics, computer science, engineering, physics, economics, financial engineering.
• 8+ years experience in quantitative research, systematic equities, asset management, hedge funds, proprietary trading, or a related investment environment
• Strong understanding of equity markets, factor investing, alpha research, portfolio construction, and risk management
• Strong programming skills, preferably in Python, with experience working with large financial datasets and research infrastructure.
• Solid knowledge of statistics, econometrics, machine learning, optimization, and time-series or cross-sectional modelling.
• Ability to work independently across the full research lifecycle, from idea generation to live deployment.
• Strong communication skills, with the ability to explain complex quantitative concepts to both technical and non-technical stakeholders.

Nice to have

• Academic teaching, publishing, or thought leadership in machine learning, quantitative finance, or systematic investing

About the company

Maven’s Systematic Equities team deploys research-driven strategies across global equity markets. The team uses a scientific and process-driven approach with a flexible research environment.