Quant jobs / Qube Research & Technologies

Digital Assets – Quantitative Researcher

A researcher role on the crypto desk, building predictive signals across exchanges. You run the research cycle from idea to live implementation.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Research predictive signals on large crypto datasets
Implement signals inside the firm's execution platform
Monitor live strategy performance and risk
Present methods and results to other researchers

What they ask for

Required

Record of delivering systematic crypto strategies
Statistics
At least one programming language, Python preferred
Two or more years in finance
Communication with technologists and traders
Work independently in a fast setting

Preferred

Machine learning, NLP or AI techniques
Crypto data sets and DeFi
Latency-sensitive strategies
C++

Education: Advanced degree in a quantitative field such as data science, statistics, maths, physics or engineering.
Experience: 2+ years in finance with a track record in systematic crypto strategies
Languages and tools: Python
C++
Markets: crypto

How to prepare

Backtest a simple crypto signal with realistic fees and slippage
Study exchange order book structure and funding rates
Practise guarding against overfitting with walk-forward tests
Read about on-chain and DeFi data sources

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Qube Research & Technologies’s site before applying: requirements, location and pay can change after we check them.

View the posting on Qube Research & Technologies’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Qube Research & Technologies and doesn’t handle applications.