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- Tasks: Apply AI/ML to develop innovative trading strategies and improve existing models.
- Company: Join a leading commercial and investment bank with a focus on technology-driven solutions.
- Benefits: Competitive salary, professional growth opportunities, and access to cutting-edge resources.
- Why this job: Make a real impact in finance by leveraging AI/ML in trading strategies.
- Qualifications: Experience in machine learning, deep learning, and programming languages like Python.
- Other info: No prior finance knowledge needed; great chance to learn in a dynamic environment.
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 in City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects or any relevant work. 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 coding challenges and be ready to discuss your thought process when tackling complex problems.
✨Tip Number 4
Don’t forget to 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 City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI and ML in your application. We want to see how you've tackled complex problems and what frameworks you've used, like PyTorch or TensorFlow. Don’t hold back on showcasing your engineering skills too!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to automated trading strategies. We love seeing candidates who take the time to connect their background to what we do!
Be Creative: This role is all about innovative thinking, so don’t be afraid to let your creativity shine through in your application. Share any unique approaches you've taken in your research or projects that could apply to systematic trading.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure it gets into the right hands. Plus, you’ll find all the details you need about the role and our team there!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI/ML Stuff
Make sure you brush up on the latest AI and machine learning techniques relevant to trading strategies. Be ready to discuss your experience with frameworks like PyTorch or TensorFlow, and how you've applied them in past projects. This shows you're not just familiar with the theory but can also bring practical insights to the table.
✨Showcase Problem-Solving Skills
Prepare to talk about complex problems you've tackled in your previous roles. 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
Even if you don't have a finance background, it’s helpful to have a basic understanding of how automated trading works. Familiarise yourself with concepts like market making, 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 for Technical Questions
Expect some technical questions that test your engineering skills and understanding of algorithms. Brush up on your coding skills, especially in Python, Java, or C++. Practising coding challenges can help you feel more confident and prepared to tackle any technical assessments during the interview.
