Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our AI Lab to build and train deep learning models for trading strategies.
- Company: Adamas Knight is a forward-thinking firm pushing the boundaries of AI in finance.
- Benefits: Enjoy competitive pay, flexible work culture, 30 days leave, and daily catered lunches.
- Why this job: Work on cutting-edge projects with a collaborative team and make a real-world impact.
- Qualifications: Advanced degree or equivalent experience in machine learning; strong programming skills required.
- Other info: Diversity is valued; we encourage applicants from all backgrounds to apply.
The predicted salary is between 43200 - 72000 £ per year.
We’re looking for smart and curious individuals from industry and academia to join our client's growing AI Lab and push the boundaries of applied deep learning in trading.
On their AI team, you’ll build and train deep learning models that directly power their trading strategies, supported by a massive and rapidly expanding compute cluster (thousands of H100s/200s). The challenges here are unique: ultra-low latency, vast and noisy datasets, constantly shifting dynamics, and tight feedback loops. These constraints demand original thinking and new techniques.
Researchers, engineers, and traders work closely together (often side by side) to train models, build systems, and run live strategies. One day you might be optimising training performance across thousands of GPUs; the next, you’re analysing how a model trades in production or designing a new architecture to capture subtle market signals.
They will rely on your deep knowledge of deep learning, whether your background is in LLMs, recsys, image models, RL agents, or classical methods, to help shape the next generation of their ML-driven trading. You’ll also contribute to hiring, mentor teammates, and share insights from the broader research community through papers, internal talks, and conference travel.
We’re open to a range of backgrounds and experiences, but the ideal candidate will have:
- An advanced degree in machine learning, statistics, applied math, or a related discipline; or equivalent experience in industry applying ML to challenging problems
- Expertise in one or more of: deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods
- Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow
- A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms
- The ability to independently formulate research questions and design experiments to answer them
- A desire to work on applied problems where real-world performance and feedback matter
What They Offer:
- Highly competitive compensation and generous performance-based bonuses
- Access to extensive compute resources, including large-scale GPU clusters
- A collaborative and intellectually stimulating research environment
- 30 days of paid leave annually
- Employer pension contributions
- Daily catered lunch and barista service
- Flexible work culture with a focus on sustainability and well-being
- Comprehensive healthcare and life insurance coverage
- Monthly team events and regular conference attendance
At Adamas Knight, we are committed to creating an inclusive culture. We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.
Researcher - Financial Services employer: Adamas Knight
Contact Detail:
Adamas Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Researcher - Financial Services
✨Tip Number 1
Familiarise yourself with the latest advancements in deep learning and financial services. Follow relevant research papers, attend webinars, and engage with online communities to stay updated on trends and techniques that could be beneficial for the role.
✨Tip Number 2
Network with professionals in the AI and finance sectors. Attend industry conferences or local meetups to connect with potential colleagues and learn more about the challenges they face, which can help you tailor your approach during interviews.
✨Tip Number 3
Showcase your practical experience by participating in ML competitions like Kaggle. This not only demonstrates your skills but also gives you concrete examples to discuss during interviews, highlighting your ability to tackle real-world problems.
✨Tip Number 4
Prepare to discuss your past research and its impact on real-world applications. Be ready to explain how your work has contributed to solving complex problems, as this will resonate well with the team’s focus on applied deep learning in trading.
We think you need these skills to ace Researcher - Financial Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced degree and relevant experience in machine learning, statistics, or applied mathematics. Emphasise your expertise in deep learning, reinforcement learning, and any programming skills, particularly in Python.
Craft a Strong Cover Letter: In your cover letter, express your passion for applied deep learning in trading. Mention specific projects or research that align with the company's focus and demonstrate your ability to formulate research questions and design experiments.
Showcase Your Publications: If you have a strong publication record, make sure to include this in your application. Highlight any papers published in top-tier venues or competitive performances in ML challenges like Kaggle, as this will strengthen your candidacy.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences in detail. Prepare to explain your approach to solving complex problems in machine learning and how you have applied these techniques in real-world scenarios.
How to prepare for a job interview at Adamas Knight
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in deep learning and related fields. Highlight specific projects where you've applied machine learning techniques, especially those that demonstrate your ability to handle complex datasets and optimise models.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical thinking and problem-solving skills. Prepare examples of how you've independently formulated research questions and designed experiments to tackle real-world challenges.
✨Familiarise Yourself with Their Work
Research the company's recent projects and publications. Understanding their approach to AI and trading will allow you to engage in meaningful discussions and show your genuine interest in their work.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with researchers, engineers, and traders, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to achieve common goals.
