Remote HFT Quantitative Researcher: ML Signals & P&L

QNT Partners; Greater London; Remote; GBP 136,000 - 211,000; Full time

Benefits offered by this job

Direct share of P&L you generate

Fully remote across Europe, the US and

Asia

Job summary

QNT Partners is seeking a talented Quantitative Researcher to design and deploy predictive signals for high-frequency trading in crypto and equity markets. You will own ideas from backtest to live trading, collaborating with engineering on features, latency, and execution.

We value proven ML on large-scale market data, strong Python, and ideally C++. This fully remote role welcomes applicants from Europe, the US and Asia, offering scale research compute and a direct share of the P&L you generate.

Qualifications

• Track record of building signals/strategies in HFT or statistical arbitrage.
• Experience applying ML to high-frequency market data.
• Strong Python; C++ is a plus.
• Crypto experience is useful but not essential.

Responsibilities

• Research and build predictive signals and strategies for high frequency trading in crypto and equity markets.
• Apply machine learning to large-scale market microstructure data.
• Take strategies from idea through backtest to live trading, and own their performance once live.
• Work with engineering on features, execution and latency.

Skills

Python

C++

ML

HFT

Tools

CUDA

Job description

QNT Partners is seeking a talented Quantitative Researcher to design and deploy predictive signals for high-frequency trading in crypto and equity markets. You will own ideas from backtest to live trading, collaborating with engineering on features, latency, and execution.

We value proven ML on large-scale market data, strong Python, and ideally C++. This fully remote role welcomes applicants from Europe, the US and Asia, offering scale research compute and a direct share of the P&L you generate.