Senior Quantitative Researcher: MFE (Machine Learning)

Location: Monaco

Company

hirify.global operates a systematic equities investment team that develops and deploys research-driven strategies across global equity markets.

What you will do

• Conduct quantitative research to develop alpha signals for systematic equity strategies across developed and emerging markets.
• Research and implement cross-sectional equity signals using traditional financial data, alternative datasets, and statistical or machine learning techniques.
• Design, test, and improve idiosyncratic, factor-neutral, and long/short systematic strategies.
• Evaluate signals and strategies through backtesting, performance attribution, robustness analysis, and out-of-sample testing.
• Collaborate with portfolio managers, researchers, data engineers, and technology teams to move research ideas into production.
• Contribute to internal research tools, analytics platforms, and model evaluation frameworks.

Requirements

• Master’s degree or Ph.D. in mathematics, statistics, computer science, engineering, physics, economics, financial engineering, or a related quantitative discipline.
• 8+ years of 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.
• 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, and explain complex quantitative concepts to technical and non-technical stakeholders.

Nice to have

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

Culture & Benefits

• Open, collaborative, and supportive research environment.
• Flexible approach to quantitative research and strategy development.
• Close collaboration across investment research, portfolio management, data engineering, and technology teams.
• Opportunity to work on global systematic equity strategies and advanced research technology.