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- Tasks: Apply AI/ML to develop innovative trading strategies and predictive models.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse work environment, and opportunities for growth.
- Why this job: Make a real impact in finance with cutting-edge technology and research.
- Qualifications: Experience in machine learning, deep learning, and programming languages.
- Other info: Work in a dynamic team with direct influence on trading outcomes.
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 designs and implements cutting‐edge proprietary quantitative models that drive automated trading systems (pricing, risk management and execution), oversees day‐to‐day risk and operations, and optimizes client liquidity in a data‐driven manner.
As an Associate AI/ML Researcher within the Automated Trading Strategies team, you will accelerate efforts on applying the latest AI/ML methods to systematic trading R&D. With a small focused team, you will have independence to pursue impactful research directions. Your work will be deployed directly into production trading with P&L responsibility.
Job Responsibilities- Apply AI/ML models to discover predictive patterns from large datasets.
- Integrate prediction models into existing strategies or set up new ones.
- Contribute to the team's AI/ML libraries and production algorithmic systems.
- Experience in machine learning and deep learning research in any domain.
- Experience with frameworks such as PyTorch, TensorFlow, or equivalent.
- Strong engineering skills, efficient in other languages (Java, C++, C#) beyond Python.
- Experience solving complex problems and evaluating alternative solutions, trade-offs, and perspectives to determine a forward path.
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.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. We are an equal opportunity employer that values diversity and inclusion. We do not discriminate on the basis of any protected attribute, and we make reasonable accommodations for applicants and employees for religious practices and physical or mental health needs.
Commercial & Investment Bank - Automated Trading Strategies AI\\ML Researcher - Associate in London employer: JPMorganChase
Contact Detail:
JPMorganChase 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, especially those at JPMorganChase. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your AI/ML expertise. When you get that interview, having something tangible to discuss can really set you apart.
✨Tip Number 3
Stay updated on trends! The finance and tech worlds move fast, so keep an eye on the latest in automated trading and AI/ML. Being knowledgeable will impress during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
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 is tailored to the role. Highlight your experience with AI/ML and any relevant projects you've worked on. We want to see how your skills align with our needs in automated trading strategies.
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. Keep it concise but impactful, and let your personality show!
Showcase Your Technical Skills: Don’t forget to mention your proficiency with frameworks like PyTorch or TensorFlow. If you’ve got experience in other programming languages, like Java or C++, make sure to include that too. We love a well-rounded candidate!
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. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at JPMorganChase
✨Know Your AI/ML Stuff
Make sure you brush up on your machine learning and deep learning concepts. Be ready to discuss specific frameworks like PyTorch or TensorFlow, and have examples of how you've applied these in past projects. This shows 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 your previous roles. Think of specific examples where you evaluated different solutions and made 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 automated trading and the financial markets involved, such as FX, Rates, Commodities, and Credit. Being able to speak knowledgeably about these areas will show that you're genuinely interested in the role and understand its context.
✨Be Ready for Technical Questions
Expect some technical questions during the interview. Brush up on your coding skills, especially in Python, Java, C++, or C#. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
