Crypto Algo Trading Graduate Quant Researcher

P2P; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading algorithmic trading firm in London is seeking a Graduate Quant Researcher. The role requires strong quantitative skills and advanced Python coding abilities. Responsibilities include developing trading strategies, improving high-frequency trading activities, and utilizing statistical techniques. Candidates should have a quantitative degree and experience in statistics and Machine Learning. The position offers a vibrant culture with significant independence and responsibilities.

Benefits

Dynamic working culture

Opportunities for accelerated responsibilities

Central London office amenities

Team events and celebrations

Qualifications

• Quantitative degree in a related field, postgraduate may be a plus.
• Advanced skills in Python programming.
• Experience in statistics and probability theory.
• Familiarity with Machine Learning and algorithm development.

Responsibilities

• Improve high-frequency trading strategies.
• Apply statistical techniques to develop trading signals.
• Lead research to optimise trading parameters through back testing.
• Identify trading opportunities by analyzing market data.
• Run simulations and model markets for different asset types.
• Maintain and improve Python-based infrastructure.

Skills

Quantitative degree

Advanced Python coding

Knowledge of statistics and probability theory

Machine Learning experience

Education

Degree in Mathematics, Statistics, Computer Science, Physics

Tools

Python

C++

Job description

A leading algorithmic trading firm in London is seeking a Graduate Quant Researcher. The role requires strong quantitative skills and advanced Python coding abilities. Responsibilities include developing trading strategies, improving high-frequency trading activities, and utilizing statistical techniques. Candidates should have a quantitative degree and experience in statistics and Machine Learning. The position offers a vibrant culture with significant independence and responsibilities.