Head of Quantitative Research

aaa global • Singapore
Relocation
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AI Summary

Lead a team of quantitative researchers to develop systematic alpha strategies across global futures and equity markets. Define the research agenda, develop predictive signals, and oversee backtesting. Collaborate with portfolio managers and data scientists to implement research in production.

Key Highlights
Lead a team of quantitative researchers
Develop systematic alpha strategies across global futures and equity markets
Collaborate with portfolio managers and data scientists
Key Responsibilities
Lead and develop a team of quantitative alpha researchers
Define the research agenda across systematic futures and quantitative equities
Develop predictive signals using market, fundamental, alternative and behavioural datasets
Apply statistical modelling and machine-learning techniques to identify persistent sources of alpha
Oversee backtesting, signal validation, robustness testing and out-of-sample analysis
Combine individual signals into diversified and scalable alpha portfolios
Work closely with portfolio managers, traders, data scientists and engineers to implement research in production
Monitor live strategy performance and adapt models to changing market regimes
Establish rigorous research standards and ensure reproducibility across the research platform
Recruit, mentor and retain high-calibre quantitative research talent
Technical Skills Required
Python Statistical modelling Machine learning
Benefits & Perks
Competitive compensation package
Relocation support may be available

Job Description


Head of Quantitative Research


Location: Singapore or Hong Kong


The Opportunity

A leading quantitative investment manager is seeking a Head of Quantitative Research to lead the development of systematic alpha strategies across global futures and equity markets.

The successful candidate will define the alpha research agenda, manage a team of quantitative researchers and drive the full research process from idea generation and signal discovery through validation, portfolio integration and live performance monitoring.


Key Responsibilities

  • Lead and develop a team of quantitative alpha researchers.
  • Define the research agenda across systematic futures and quantitative equities.
  • Develop predictive signals using market, fundamental, alternative and behavioural datasets.
  • Research alpha factors across trend, carry, value, momentum, quality, relative value and cross-sectional strategies.
  • Apply statistical modelling and machine-learning techniques to identify persistent sources of alpha.
  • Oversee backtesting, signal validation, robustness testing and out-of-sample analysis.
  • Evaluate signal decay, turnover, transaction costs, liquidity and capacity.
  • Combine individual signals into diversified and scalable alpha portfolios.
  • Work closely with portfolio managers, traders, data scientists and engineers to implement research in production.
  • Monitor live strategy performance and adapt models to changing market regimes.
  • Establish rigorous research standards and ensure reproducibility across the research platform.
  • Recruit, mentor and retain high-calibre quantitative research talent.


Candidate Profile

  • Advanced degree in mathematics, statistics, computer science, physics, engineering, quantitative finance or a related field.
  • Significant experience in quantitative alpha research, systematic investing or quantitative portfolio management.
  • Strong expertise in systematic futures, quantitative equities or both.
  • Proven track record of developing alpha signals that have been deployed in live portfolios.
  • Experience leading and managing quantitative research teams.
  • Deep knowledge of statistical modelling, machine learning, factor research and portfolio construction.
  • Strong programming skills in Python; experience with C++ would be advantageous.
  • Strong understanding of transaction costs, market microstructure, liquidity and strategy capacity.
  • Ability to distinguish genuine alpha from overfitting and temporary market effects.
  • Strong communication, leadership and stakeholder-management skills.


Preferred Experience

  • Experience researching global futures and equity markets.
  • Expertise in cross-sectional, time-series, statistical-arbitrage or multi-factor strategies.
  • Experience working with large-scale market and alternative datasets.
  • Strong record of building institutional-quality alpha research processes.


Compensation

A highly competitive compensation package will be offered, including base salary and performance-related incentives. Relocation support may be available.


Please email steven@aaaglobal.co.uk with a copy of your CV if you are interested in this.


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