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- Tasks: Explore AI tools for trading, from idea generation to backtesting.
- Company: Join Teza Technologies, a leader in innovative quantitative research.
- Benefits: Enjoy hybrid work, health insurance, and office lunches.
- Why this job: Dive into cutting-edge AI applications in finance while collaborating with experts.
- Qualifications: Degree in a technical field; Python skills; passion for trading required.
- Other info: Opportunity to learn from experienced mentors and experiment freely.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the AI Quant Analyst role at Teza Technologies
Join to apply for the AI Quant Analyst role at Teza Technologies
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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
- Good communication 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
Benefits
- Health insurance
- Flexible sick time policy
- Office Lunches
Seniority level
-
Seniority level
Entry level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Research, Analyst, and Information Technology
-
Industries
Capital Markets
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AI Quant Analyst employer: Teza Technologies
Contact Detail:
Teza Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Quant Analyst
✨Tip Number 1
Familiarise yourself with the latest generative AI tools and their applications in quantitative analysis. Being able to discuss specific tools like ChatGPT or Claude during your interview will show your enthusiasm and understanding of the role.
✨Tip Number 2
Engage with the trading community online, whether through forums or social media. Sharing your insights on AI in trading can help you build a network and demonstrate your passion for the field, which is crucial for this role.
✨Tip Number 3
Prepare to discuss your past experiences with coding and data analysis. Be ready to share specific examples of how you've used Python or other programming languages to solve complex problems, as this will highlight your technical skills.
✨Tip Number 4
Stay updated on current trends in financial markets and AI research. Being knowledgeable about recent developments will not only impress your interviewers but also allow you to contribute meaningfully to discussions about innovative trading strategies.
We think you need these skills to ace AI Quant Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, quantitative analysis, and programming. Emphasise any projects or roles where you've used Python, generative AI tools, or worked with financial data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for trading and AI. Discuss how your background aligns with the responsibilities of the role, particularly your experience with idea generation and backtesting.
Showcase Relevant Skills: Clearly outline your technical skills, especially in Python and any familiarity with machine learning frameworks. Mention any experience with backtesting frameworks or market data analysis to strengthen your application.
Demonstrate Your Passion: In your application, convey your enthusiasm for exploring new technologies and solving complex problems. Share examples of how you've approached challenges creatively, particularly in trading or quantitative research.
How to prepare for a job interview at Teza Technologies
✨Show Your Passion for Trading
Make sure to express your genuine love for trading during the interview. Share experiences or stories that highlight your enthusiasm and how it drives your work, as this role requires a strong passion for financial markets.
✨Demonstrate Your Technical Skills
Be prepared to discuss your proficiency in Python and any relevant libraries like NumPy and Pandas. You might be asked to solve coding problems or explain your previous projects, so brush up on your technical knowledge and be ready to showcase your skills.
✨Prepare for AI Tool Discussions
Since the role involves using generative AI tools, be ready to talk about your experience with them. Discuss specific tools you've used, how you've applied them in research or coding, and any innovative ideas you have for their use in trading.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI in quant research and the team dynamics. This shows your interest in the role and helps you gauge if the company culture aligns with your values and work style.
