AI Quant Analyst

Teza Technologies; London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A prominent financial technology firm in London seeks an AI Quant Analyst to explore the use of large language models in trading. The role involves developing strategies using generative AI, analyzing market data, and collaborating with experienced researchers. Candidates should have a background in Computer Science or a related field, be proficient in Python, and possess strong analytical skills. This hybrid role offers professional mentorship and the opportunity to innovate in quantitative research.

Benefits

Health insurance

On-site mentorship from experienced professionals

Office lunches

Qualifications

• Comfortable working in Python (NumPy, Pandas, scikit-learn, etc.).
• Strong analytical and creative thinking skills.
• Interest in financial markets and a drive to explore new research approaches.

Responsibilities

• Use generative AI tools to assist with idea generation, research, and code prototyping.
• Collect and prepare data for use in backtests and modeling.
• Backtest ideas and interpret results with care.

Skills

Python (NumPy, Pandas, scikit-learn)

Analytical skills

Creative thinking

Financial markets interest

Education

Degree in Computer Science, Engineering, Applied Math, or Physics

Job description

We are looking for AI Quant Analysts to join our team in London. In this role, you’ll explore how to use large language models (ChatGPT, Claude, Gemini, and others) including building agents to fetch and feed data, to experiment the usage in the full research cycle: from idea and signal generation to modeling and backtesting. You’ll test unconventional ideas, run experiments, while always being the human who challenges, filters, and improves the output.

You’ll work with real market data, collaborate with experienced researchers, and build strategies that could eventually go into production. If you enjoy exploring new tools, thinking independently, and approaching trading problems from a fresh angle, this role could be a great fit, but most importantly - you should be someone who loves trading !

Location
London, UK (Hybrid mode with 3 days in-office requirement)

Key responsibilities

• Use generative AI tools to assist with idea generation, research, and code prototyping
• Guide AI tools through structured prompts to explore signals, datasets, and trading hypotheses
• Take AI-generated code or research outputs and test, fix, or re-implement them where needed
• Collect and prepare data for use in backtests and modeling
• Build features and alpha signals with a mix of AI assistance and hands-on work
• Backtest ideas and interpret results with care and skepticism
• Contribute to building and improving the overall research workflow involving AI tools
  
  

Basic Requirements

• Degree in Computer Science, Engineering, Applied Math, Physics or a related technical field
• Comfortable working in Python (NumPy, Pandas, scikit-learn, etc.)
• Interest in financial markets and a drive to explore new research approaches
• Strong analytical and creative thinking skills
• Receptivity to lots of coaching
• Detail-oriented with a structured and careful approach to testing ideas
  
  

Nice to have Requirements

• MSc or PhD in a ML/AI or related field, or a quantitative field
• Experience using generative AI tools for coding or research
• Participation in STEM Olympiads, research competitions, or other competitive programming challenges
• Familiarity with backtesting frameworks, market data, or signal modeling
• Knowledge of C++ or Java is a plus
  
  

What you’ll get

• On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from
• A chance to explore the frontier of how AI can change quant research
• Freedom to experiment while learning to build robust trading strategies
• Professional guidance from experienced mentors
  
  

What makes you a match

You LOVE solving technical !

You love to code and play with new technologies

You are willing to explore new articles and implement suitable ideas

You are not afraid of unknown and love to learn

You have A LOT of passion and drive

Health insurance

• Office Lunches
  
  
  

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