Quantitative Researcher

We are partnering with a world-leading quantitative trading and technology firm to hire multiple Quantitative Researchers and Machine Learning Researchers/Scientists across New York and other global locations.

These teams operate in a highly research-driven environment, developing systematic strategies across multiple asset classes and time horizons. The work combines rigorous quantitative research with large-scale data, machine learning, and advanced statistical modelling.

We are looking for exceptional researchers who enjoy solving difficult problems, working autonomously, and translating research into real-world trading strategies.

Quantitative Research

As a Quantitative Researcher, you will:

• Develop and research systematic trading strategies across Equities, Futures and Options
• Work across a range of trading horizons, from intraday/HFT through to longer-term strategies
• Conduct research into execution, optimisation and monetisation
• Develop statistical and quantitative models using large datasets
• Work closely with experienced researchers and engineers to take ideas from research through to implementation
• Apply rigorous mathematical and statistical thinking to complex market problems
• Operate in a highly collaborative, research-focused environment

What We’re Looking For

• Strong academic background in a quantitative discipline; PhDs particularly relevant
• Experience in quantitative research, systematic trading, execution research or a closely related field
• Strong statistical and mathematical modelling skills
• Experience working with large datasets and developing quantitative models
• Background in finance, technology, academia or research
• Experience at leading quantitative trading firms, technology companies or research environments is of interest

Machine Learning Research

We are also hiring ML Researchers and Scientists working on cutting-edge applications of machine learning to quantitative research.

Areas of particular interest include:

• Deep learning
• LLMs and Transformers
• Sequence modelling
• Reinforcement learning
• Foundation models
• Large-scale model pre-training

What We’re Looking For

• Strong research background in machine learning, AI or a related field
• Experience developing and training sophisticated ML models
• Strong interest or experience in pre-training and large-scale modelling
• Ability to independently develop novel research ideas and approaches
• Strong publication or research track record is highly valued
• PhD preferred, although exceptional BSc/MSc candidates with highly relevant research experience will also be considered
• Experience from leading AI research labs, technology companies, academia or quantitative environments

These are research-heavy teams with continual hiring and significant scope for researchers to have genuine impact.