Quantitative Researcher

NJF Global Holdings Ltd; New York (NY); On-site; USD 180,000 - 320,000; Full time

Job summary

NJF Global Holdings Ltd, a world-leading quantitative trading and technology firm, is hiring multiple Quantitative Researchers and ML Researchers/Scientists in New York and globally. The roles focus on developing systematic strategies across equities, futures, and options, using large datasets and advanced modelling to drive real-world trading outcomes.

Ideal candidates combine strong research background in quantitative methods or ML with a track record of applying research to trading, and a PhD

Qualifications

• PhD preferred in a quantitative discipline; exceptional candidates may be considered without a PhD.
• Strong background in quantitative research, systematic trading or related field.
• Experience with large datasets and quantitative modelling.

Responsibilities

• Develop and research systematic trading strategies across multiple assets.
• Work across intraday to longer-term horizons and optimise execution.
• Translate research into real-world trading models and strategies.
• Collaborate with engineers to implement ideas end-to-end.

Skills

Quantitative research

Machine learning

Statistical modelling

Large datasets

Finance knowledge

Education

PhD preferred in quantitative field

Tools

Python

TensorFlow/PyTorch

Job description

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

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

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.