Quant Finance Internship: AI Trading Analytics

Barclays; Greater London; On-site; GBP 20,000 - 27,000; Full time

Job summary

Barclays offers an Off Cycle Internship for 3-6 months within one of our Quant teams in London. You will contribute to algorithmic trading models, data analysis, and valuation/risk tools using AI-driven approaches.

You’ll be embedded with Markets QA, Risk QA or eTrading, collaborating with traders and technology teams to deliver tangible impact from day one. Visa sponsorship is available for eligible candidates.

Qualifications

• Final-year or postgraduate student with a Master’s degree or higher in a technical field
• Strong programming skills in Python, C++, or Java
• Excellent communication and collaboration abilities
• Ability to understand business impact and deliver solutions quickly

Responsibilities

• Develop quantitative models and trading strategies to support decision-making
• Design high-performance trading platforms and risk systems with scalable features
• Conduct research and data analysis to uncover market trends and improve models
• Collaborate with traders, sales teams and risk/finance to translate needs into tools
• Contribute to improving trading infrastructure and risk management processes

Skills

Python

C++

Java

Education

Master's degree or higher in a technical discipline (Physics, Mathematics, CS, etc.)

Job description

Barclays offers an Off Cycle Internship for 3-6 months within one of our Quant teams in London. You will contribute to algorithmic trading models, data analysis, and valuation/risk tools using AI-driven approaches.

You’ll be embedded with Markets QA, Risk QA or eTrading, collaborating with traders and technology teams to deliver tangible impact from day one. Visa sponsorship is available for eligible candidates.