Quantitative Researcher - Short-Horizon Systematic Trading

eFinancialCareers; Greater London; On-site; GBP 95,000 - 135,000; Full time

Job summary

eFinancialCareers is assisting a small proprietary trading firm to add an experienced Quantitative Researcher to its research team. This role focuses on creating live trading strategies from rigorous research rather than maintaining existing models.

You will test ideas, backtest hypotheses, and work with Python to handle large market datasets. The team values fresh perspectives and practical research that can survive live trading.

Qualifications

• Several years of hands-on quantitative research in a systematic trading environment.
• Experience with alpha or predictive signal research.
• Ability to take research from hypothesis → backtest → validation → production.

Responsibilities

• Develop and test trading hypotheses and backtest them rigorously.
• Turn the best research into live trading strategies with tight feedback loops.
• Explain what you discovered, built and improved to the team in clear terms.

Skills

Quant Research

Python

Backtesting

Data Analysis

Alpha Signals

HFT Experience

Tools

Python

Pandas

NumPy

Backtesting

Job description

I'm working with a small proprietary trading firm looking to add an experienced Quantitative Researcher to its research team.

This isn't a role where you'll spend your time maintaining somebody else's models.

You'll be expected to find opportunities, test ideas properly, understand why they work, and work closely with the team to turn the best research into live trading strategies.

The team is particularly interested in researchers who can bring something different - a new way of looking at markets, a research technique they haven't used before, experience with different datasets, signals or trading environments.

You might be interesting if you:

• Have several years of hands-on quantitative research experience in a systematic trading environment
• Have personally worked on alpha / predictive signal research
• Can take research from hypothesis ? backtest ? validation ? production
• Understand the difference between a good backtest and something that can actually survive live trading
• Are strong in Python and comfortable working with large market datasets
• Have experience with short-horizon, high-turnover or HFT strategies
• Can explain what you personally discovered, built and improved rather than only what your wider team worked on

Your background could be systematic equities, futures, stat arb, HFT, digital assets or another liquid market.

What matters more is the quality of your research and whether you've seen your work trade live.

Why consider it?

The research team is deliberately small. That means considerably more influence over the research agenda than you tend to get inside a large pod or highly segmented quant organisation. You'll work directly with senior researchers and decision-makers, with the opportunity to introduce new ideas rather than simply being hired to reproduce an existing strategy. If you're doing good research today but feel you could have much more impact in a smaller environment, message me privately. I'm happy to explain the team, strategies and research setup before you decide whether it's worth exploring.