Quantitative Researcher

Quantitative Researcher – New York

New York | Mid-Frequency Equities | Quantitative Research

I’m working with a quantitative investment firm looking to hire an experienced

Quantitative Researcher

into its New York team.

The role is focused on developing

new sources of information and predictive signals

for mid-frequency equity strategies, with significant scope to explore how

machine learning and emerging AI technologies

can improve the research process.

The researcher will work across:

• Signal and predictive model development
• Research across

large-scale financial and alternative datasets

• Statistical modelling and machine learning
• Equity market and

mid-frequency systematic research

• LLMs, AI agents and research automation
• New approaches to

data analysis and hypothesis generation

• Backtesting, empirical research and model validation
• Taking ideas from

initial research through to implementation

The ideal candidate will have

2–5+ years of quantitative research experience within a market leading Tier 1 Firm

, quantitative or investment environment, alongside a strong academic background and excellent

Python, statistics and ML

skills.

Experience with

equities, alternative data and modern ML/AI techniques

would be particularly relevant.

If you’re interested in the direction quantitative research is heading and would like to hear more, please reach out for a confidential conversation.