About Us
Who we are
HQL is a quantitative trading technology firm that solves complex financial problems.
We are a small, highly specialised group of researchers, traders, and technologists taking on some of the most difficult problems in quantitative finance.
Our Research Lab is a home for curious and ambitious minds. Here, researchers are given the freedom to explore difficult problems and the tools to pursue them, applying mathematical, statistical, and scientific rigour to discover new approaches to investing. We aim to build an environment where exceptional people can do exceptional work.
People
Recruit and empower the world’s brightest minds.
Research
Turn scientific research into investment intelligence.
Technology
Accelerate research through AI, automation, and high-performance computing.
Our Vision
“We aim to become the world’s leading quantitative research, trading and technology lab, where AI, maths and exceptional people work together to solve complex financial problems and create investment strategies that consistently deliver high returns”
Our mission
At HQL, we bring together exceptional quantitative researchers, traders, and technologists and give them the freedom, computing power, data, and tools to solve complex financial problems.
Exceptional people. Difficult problems.
Financial markets are among the most complex systems in the world. At Hikaros Quant Lab, we approach them as a research problem, combining mathematics, statistics, machine learning and engineering to build systematic approaches to investing.
We believe the future of investing will be shaped by people who think differently. HQL is being built around a simple principle: find exceptional minds, give them difficult problems, and give them the freedom, tools and time to solve them.
We are not looking for people who follow established playbooks. We are looking for people who write new ones.
Curiosity, rigour, technical depth and the capacity to challenge your own assumptions matter more than any particular credential.
Let’s build the future.
We are looking for:
Quantitative researchers
Machine learning researchers
Software engineers
Quantitative developers
Mathematicians and physicists
Outstanding students and graduates