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- 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, professional growth, and access to cutting-edge technology.
- Why this job: Make a real impact in trading with your AI/ML expertise and creativity.
- Qualifications: Experience in machine learning, strong coding skills, and problem-solving abilities.
- Other info: Enjoy a dynamic work environment with opportunities for career advancement.
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.
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 in London 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 in London
✨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 applications alone 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 bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common questions and scenarios related to automated trading strategies.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Commercial & Investment Bank - Automated Trading Strategies AI\\ML Researcher - Associate in London
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, especially if you've used frameworks like PyTorch or TensorFlow. We want to see how your background fits into our Automated Trading Strategies team!
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 and how you can contribute to our team. Be specific about your past experiences and how they relate to the responsibilities listed in the job description.
Showcase Problem-Solving Skills: In your application, don’t forget to mention instances where you've tackled complex problems. We love candidates who can think creatively and weigh different solutions. Share examples that demonstrate your analytical thinking and decision-making process!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
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 and TensorFlow, and have examples of how you've applied these in real-world scenarios. This will show that you're not just familiar with the theory but can also implement it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've tackled in the past. Think of specific examples where you had to weigh different solutions and make trade-offs. This will demonstrate your analytical thinking and ability to navigate challenges, which is crucial for this role.
✨Understand the Trading Landscape
Familiarise yourself with the basics of systematic trading, market making, and the specific markets mentioned in the job description (FX, Rates, Commodities, and Credit). Being able to speak knowledgeably about these areas will impress the interviewers and show your genuine interest in the role.
✨Be Ready to Discuss Collaboration
Since you'll be part of a small team, it's important to highlight your teamwork skills. Prepare examples of how you've collaborated with data and engineering teams in the past. Emphasising your ability to work independently while also being a team player will resonate well with the interviewers.
