At a Glance
- Tasks: Design and develop AI models to enhance trading strategies and financial forecasting.
- Company: Leading investment management firm at the forefront of AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting challenges and career advancement opportunities.
- Why this job: Join a dynamic team and make a real impact in finance with AI.
- Qualifications: Degree in Computer Science or related field; strong Python and AI/ML skills required.
The predicted salary is between 50000 - 70000 € per year.
We are seeking a highly skilled AI Engineer to join a leading investment management firm. In this role, you will design, develop, and deploy machine learning models and AI-driven solutions to enhance trading strategies, portfolio optimization, risk management, and financial forecasting. You will work closely with quant researchers, data scientists, and software engineers to leverage AI for making data-driven investment decisions.
Key Responsibilities- Develop and optimize machine learning models for financial market predictions, portfolio management, and risk assessment.
- Build AI-powered analytics tools and data pipelines to process large-scale financial datasets.
- Research and implement cutting-edge deep learning, NLP, and reinforcement learning techniques for investment strategies.
- Work closely with quantitative researchers and traders to integrate AI models into trading and risk systems.
- Improve model performance through feature engineering, hyperparameter tuning, and model validation.
- Ensure AI models are explainable, robust, and aligned with regulatory requirements.
- Optimize execution speed and efficiency, leveraging distributed computing and cloud infrastructure where necessary.
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Mathematics, or a related field.
- Strong programming skills in Python and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience working with financial data and applying AI/ML models in an investment or trading context.
- Familiarity with time-series forecasting, NLP, reinforcement learning, and generative AI techniques.
- Proficiency in data engineering, big data processing (Spark, Dask, Kafka), and cloud computing (AWS, GCP, Azure).
- Strong understanding of statistical modeling, probability, and optimization techniques.
- Ability to collaborate with quant researchers, portfolio managers, and technology teams.
- Experience working in a hedge fund, asset management, or proprietary trading firm.
- Knowledge of market microstructure, options pricing, and quantitative trading strategies.
- Familiarity with C++ or Rust for low-latency AI model execution.
- Prior experience in automated trading systems, alternative data, or AI-driven portfolio optimization.
This is an exciting opportunity to work at the intersection of AI and finance, solving real-world problems with cutting-edge technology. If you thrive in a fast-paced, intellectually challenging environment, we’d love to hear from you.
AI Engineer employer: Durlston Partners LLP
Join a leading investment management firm that champions innovation and collaboration, where as an AI Engineer, you will be at the forefront of integrating advanced AI solutions into financial strategies. Our dynamic work culture fosters continuous learning and professional growth, offering you the chance to collaborate with top-tier quant researchers and data scientists in a fast-paced environment. Enjoy competitive benefits and the unique opportunity to make a significant impact in the finance sector while working in a vibrant location that promotes both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to AI and finance. You never know who might have the inside scoop on job openings or can refer you directly.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving machine learning models or AI solutions. Share it on platforms like GitHub or your personal website, and make sure to highlight any financial data projects you've worked on.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and understanding of AI frameworks. Be ready to discuss your past projects and how they relate to trading strategies or risk management—this is your chance to shine!
✨Apply Through Our Website
Don’t forget to check out our careers page! Applying directly through our website can give you an edge, as we often prioritise candidates who show genuine interest in our company and its mission.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI and machine learning, especially in financial contexts. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in finance and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Since this role requires strong programming skills, make sure to mention your proficiency in Python and any AI/ML frameworks you’ve worked with. If you have experience with big data processing or cloud computing, definitely include that too!
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 shows you’re keen on joining our team!
How to prepare for a job interview at Durlston Partners LLP
✨Know Your AI Stuff
Make sure you brush up on your machine learning models and AI techniques. Be ready to discuss how you've applied them in financial contexts, especially around trading strategies and risk management. The more specific examples you can provide, the better!
✨Show Off Your Coding Skills
Since strong programming skills in Python are a must, practice coding challenges related to AI and data processing. Familiarise yourself with frameworks like TensorFlow and PyTorch, and be prepared to demonstrate your knowledge during technical questions or coding tests.
✨Understand Financial Markets
Dive into the basics of financial data and investment strategies. Knowing about time-series forecasting and market microstructure will give you an edge. Be ready to discuss how AI can enhance portfolio management and trading decisions.
✨Collaborate Like a Pro
This role involves working closely with quant researchers and traders, so highlight your teamwork skills. Share experiences where you successfully collaborated on projects, especially those that required integrating AI models into existing systems.
