Quantitative Researcher

Alexander Chapman; England; On-site; GBP 45,000 - 65,000; Full time

Job summary

A recruitment consultancy in the UK is looking for a Recruitment Consultant specializing in Quantitative & ML Research. The role involves developing quantitative trading strategies using machine learning, analyzing large datasets, and collaborating with team members on strategy development. Ideal candidates will have a strong background in computer science and machine learning, with experience in algorithmic trading. This is a full-time position suitable for mid-senior level professionals.

Qualifications

• Strong background in computer science, quantitative analysis, and machine learning.
• Experience with algorithmic trading and predictive modeling.
• Familiarity with energy markets or commodities trading is preferred.

Responsibilities

• Research and develop quantitative trading strategies using machine learning.
• Analyze large datasets to identify market patterns and optimize algorithms.
• Collaborate with team members on strategy development and backtesting.

Skills

Computer science

Quantitative analysis

Machine learning

Algorithmic trading

Predictive modeling

Data-driven decision-making

Job description

Recruitment Consultant - Quantitative & ML Research

Responsibilities

• Research and develop quantitative trading strategies for equity markets using machine learning and statistical modeling
• Analyze large datasets to identify market patterns, optimize trading algorithms, and manage risk
• Collaborate with team members on strategy development, backtesting, and performance evaluation

Requirements

• Strong background in computer science, quantitative analysis, and machine learning
• Experience with algorithmic trading, predictive modeling, and data-driven decision-making
• Familiarity with energy markets, financial instruments, or commodities trading preferred

Senioriy level

• Mid-Senior level

Employment type

• Full-time

Job function

• Finance

Industries

• Financial Services
• Investment Management
• Research Services