At a Glance
- Tasks: Apply AI/ML to enhance automated trading strategies and solve complex problems.
- Company: Join a leading commercial and investment bank with a focus on innovation.
- Benefits: Competitive salary, cutting-edge resources, and opportunities for professional growth.
- Why this job: Make a real impact in finance using the latest AI/ML technologies.
- Qualifications: Experience in machine learning and strong engineering skills required.
- Other info: No prior finance knowledge needed; great chance to learn and grow.
The predicted salary is between 36000 - 60000 £ per year.
The Automated Trading Strategies (ATS) group is responsible for systematic trading across FX, Rates, Commodities, and Credit markets. The team is responsible for a broad scope including the design and implementation of cutting-edge proprietary quantitative models that drive our automated trading systems (pricing, risk management and execution), the oversight of day-to-day risk and operations, and the optimisation of Franchise client liquidity offering in a data-driven manner.
As an Associate AI/ML Researcher within the Automated Trading Strategies team, you will accelerate our efforts on applying the latest AI/ML methods on systematic trading strategy R&D. As part of a small focused team with minimal bureaucracy, you will have great independence to pursue the research directions you think would be most impactful. You are enabled with enough computational resources and supported by excellent data and engineering teams to realise your vision. Your work will be deployed directly into production trading with P&L responsibility. The field is complex and often requires creative problem-solving, but it’s also a great chance to learn and grow professionally.
You will be responsible for improving every part of our models: from featurisation of data, to architecture design, to training dynamics, to how trading decisions are made. You will be part of a fast-growing effort and have the opportunity to have a holistic view of market making & exchange trading, including alpha generation, portfolio construction/optimisation and trade execution algorithms. This position does not require prior finance knowledge or experience. Candidates with experience in technology, AI or research institutions are strongly encouraged to apply.
Job Responsibilities
- Apply AI/ML model to find predictive patterns from large datasets.
- Integrate prediction model into existing strategies or set up new ones.
- Contribute to team’s AI/ML libraries as well as production algo system.
Required qualifications, capabilities, and skills
- Experience in machine learning and deep learning research for any domain.
- Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent.
- Strong engineering skills valued, efficiency in other languages (Java/C++/C#) beyond Python.
- Experience solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward.
This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities.
Commercial & Investment Bank - Automated Trading Strategies AI\\ML Researcher - Associate employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial & Investment Bank - Automated Trading Strategies AI\\ML Researcher - Associate
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. This is your chance to demonstrate what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios and explain your thought process clearly.
✨Tip Number 4
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 Commercial & Investment Bank - Automated Trading Strategies AI\\ML Researcher - Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your machine learning and deep learning research, and don’t forget to mention any relevant frameworks you’ve worked with like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML in trading strategies and how your background makes you a great fit for our team. Keep it concise but impactful!
Showcase Problem-Solving Skills: In your application, give examples of complex problems you've tackled in the past. We love seeing how you approach challenges and the creative solutions you've come up with—this is key for the role!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI/ML Stuff
Make sure you brush up on your machine learning and deep learning concepts. Be ready to discuss your experience with frameworks like PyTorch or TensorFlow, and have examples of how you've applied these in past projects. This will show that you're not just familiar with the theory but can also put it into practice.
✨Show Off Your Problem-Solving Skills
Prepare to talk about complex problems you've tackled in your previous roles. Think about the different approaches you considered, the trade-offs involved, and how you arrived at your final solution. This will demonstrate your analytical thinking and creativity, which are crucial for this role.
✨Understand the Trading Landscape
Even if you don't have a finance background, it's important to grasp the basics of trading strategies and market dynamics. Familiarise yourself with terms like alpha generation and portfolio optimisation. This knowledge will help you connect your technical skills to the business side of things during the interview.
✨Be Ready to Discuss Collaboration
Since you'll be working closely with data and engineering teams, think about how you've collaborated in the past. Be prepared to share examples of how you’ve contributed to team projects and how you handle feedback. This will highlight your ability to work in a small, focused team with minimal bureaucracy.
