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 working 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 the finance world 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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 in London 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. With access to cutting-edge technology and a commitment to employee development, this role provides a unique opportunity to make a significant impact in the finance sector while enjoying a supportive and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and AI sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and AI projects. Use GitHub or a personal website to display your work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with financial data and AI applications. Practice common interview questions and consider doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities waiting for you. Tailor your application to highlight your relevant experience in AI and finance, and don’t forget to follow up after applying to show your enthusiasm!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with machine learning models, financial data, and any relevant programming skills. We want to see how your background aligns with what we're looking for!
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 your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any cool projects related to AI or finance, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience and creativity.
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 a few clicks and you’re done!
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 real-world scenarios, especially in finance. This shows you're not just theoretical but can actually implement solutions.
✨Showcase Your Coding Skills
Since strong programming skills in Python are a must, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a project. Practise coding challenges related to AI and finance beforehand.
✨Understand Financial Concepts
Familiarise yourself with key financial terms and concepts like portfolio management and risk assessment. Being able to speak the language of finance will help you connect better with the team and show that you understand the context of your work.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their AI strategies, team dynamics, or the tools they use. This not only shows your interest but also helps you gauge if the company is the right fit for you.
