At a Glance
- Tasks: Build AI-driven analytics and real-time insights for traders in a fast-paced environment.
- Company: Join a dynamic trading firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with excellent career advancement opportunities.
- Why this job: Make a real impact by solving traders' problems with cutting-edge AI technology.
- Qualifications: Experience with AI/LLM use cases and strong problem-solving skills.
The predicted salary is between 60000 - 80000 € per year.
Want to build AI-driven analytics used directly by traders? We’re hiring an AI Engineer to deliver real-time insights across market pricing & fundamentals data in a fast-paced trading environment.
What you’ll do:
- Build forecasting, regression & scenario models
- Engineer high-performance Spark / PySpark pipelines
- Deploy LLM-powered solutions into production
- Work side-by-side with traders to solve real problems fast
You’ll need:
- Hands-on with AI / LLM use cases
AI Engineer (Trading / Data Engineering) employer: Templeton & Partners - Innovative & Inclusive Hiring Solutions
Join a dynamic and innovative team where your contributions as an AI Engineer will directly impact trading strategies and market insights. Our collaborative work culture fosters creativity and growth, offering you the chance to work alongside experienced traders while developing cutting-edge AI solutions in a fast-paced environment. With a focus on employee development and a commitment to leveraging the latest technologies, we provide a unique opportunity for meaningful and rewarding employment in the heart of the financial sector.
Contact Detail:
Templeton & Partners - Innovative & Inclusive Hiring Solutions Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Trading / Data Engineering)
✨Tip Number 1
Network like a pro! Connect with professionals in the trading and AI space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to trading or data engineering. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Spark and PySpark knowledge. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Engineer (Trading / Data Engineering)
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let us see your enthusiasm for AI and how it can transform trading. Share any relevant projects or experiences that highlight your hands-on skills with AI and LLM use cases.
Tailor Your CV to the Role:Make sure your CV speaks directly to the job description. Highlight your experience with forecasting, regression models, and Spark/PySpark pipelines. We want to see how your background aligns with what we’re looking for!
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly. We appreciate clarity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Templeton & Partners - Innovative & Inclusive Hiring Solutions
✨Know Your AI Inside Out
Make sure you’re well-versed in AI and LLM use cases. Brush up on the latest trends and technologies in AI-driven analytics, especially those relevant to trading. Be ready to discuss how you've applied these concepts in real-world scenarios.
✨Showcase Your Technical Skills
Prepare to demonstrate your expertise in building forecasting and regression models. Bring examples of your previous work with Spark or PySpark pipelines. If possible, have a mini-project or code snippet ready to showcase your skills during the interview.
✨Understand the Trading Environment
Familiarise yourself with market pricing and fundamentals data. Research how traders use AI insights to make decisions. This will help you speak their language and show that you can work side-by-side with them to solve real problems quickly.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and challenges in AI engineering. This not only shows your interest but also helps you gauge if the role aligns with your career goals. Plus, it gives you a chance to demonstrate your analytical thinking.
