At a Glance
- Tasks: Analyse data using AI to drive investment strategies and collaborate with experts.
- Company: Teza Technologies, a leading firm in quantitative finance.
- Benefits: Competitive salary and mentorship from experienced professionals.
- Other info: Exciting opportunity for growth in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of finance with AI.
- Qualifications: Familiarity with backtesting frameworks and programming skills in C++ or Java.
The predicted salary is between 60000 - 80000 £ per year.
AI Quant Analyst in London, United Kingdom
Posted 9 months ago
Tech Stack:
- Java
- Analyst
- C
- Quantitative
- Artificial Intelligence
Requirements:
- Familiarity with backtesting frameworks, market data, or signal modeling
- Knowledge of C++ or Java is a plus
Benefits:
- On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from
Compensation: Competitive
Role Type: Full time
Visa Sponsorship: Not provided
AI Quant Analyst in London - Teza Technologies employer: Teza Technologies
As a Portfolio Manager in Systematic Agriculture, you'll join a dynamic team in either Austin, TX or London, UK, where innovation meets expertise in agricultural markets. Our company fosters a collaborative work culture that encourages intellectual curiosity and offers ample opportunities for professional growth, allowing you to shape the future of systematic trading strategies while enjoying comprehensive health benefits and a flexible sick time policy.
StudySmarter Expert Advice🤫
We think this is how you could land AI Quant Analyst in London - Teza Technologies
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and Quant space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of backtesting frameworks and market data. Practise coding challenges in Java or C++ to show off your skills.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you, like Teza Technologies. Tailor your approach and show them why you’re the perfect fit for their team.
✨Tip Number 4
Keep an eye on our website for openings! We regularly update our listings, and applying directly through us can give you a better chance to stand out.
We think you need these skills to ace AI Quant Analyst in London - Teza Technologies
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with backtesting frameworks and market data. We want to see how your skills align with the AI Quant Analyst role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative analysis and how your background in Java or C++ makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills:Don’t forget to mention any specific tools or technologies you’ve worked with that relate to the job description. If you’ve got experience with signal modeling, let us know! We love seeing candidates who are technically savvy.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Teza Technologies
✨Know Your Tech Stack
Make sure you’re well-versed in Java and any relevant backtesting frameworks. Brush up on your knowledge of C++ too, as it could come in handy during technical discussions.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with market data and signal modelling. Be ready to share specific examples of how you've applied these skills in past projects or roles.
✨Engage with the Team
Since you'll be working alongside experienced Quantitative Researchers and Portfolio Managers, express your eagerness to learn from them. Ask insightful questions about their work and how you can contribute.
✨Practice Problem-Solving
Expect some technical problem-solving questions during the interview. Practice coding challenges or quantitative problems beforehand to demonstrate your analytical thinking and coding prowess.
