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- Tasks: Apply AI/ML methods to develop automated trading strategies and predictive models.
- Company: Global financial services firm with a focus on innovation and independence.
- Benefits: Flexible work environment, competitive salary, and access to advanced computational resources.
- Why this job: Make a real impact in finance using cutting-edge AI/ML technologies.
- Qualifications: Background in tech, AI, or research; finance experience not required.
- Other info: Enjoy minimal bureaucracy and excellent growth opportunities in a dynamic field.
The predicted salary is between 30000 - 50000 £ per year.
A global financial services firm is seeking an Associate AI/ML Researcher to accelerate efforts in AI/ML methods for systematic trading strategies. This role offers independence with minimal bureaucracy, utilizing computational resources to impact trading directly.
Responsibilities include:
- Applying predictive models
- Integrating them into strategies
- Contributing to AI/ML libraries
Candidates with tech, AI, or research backgrounds are encouraged to apply. Previous finance experience is not required.
Associate AI/ML Researcher for Automated Trading Strategies employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate AI/ML Researcher for Automated Trading Strategies
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML and finance sectors on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on that perfect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects or any relevant research. This is your chance to demonstrate what you can bring to the table, especially for a role focused on automated trading strategies.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of predictive models and how they apply to trading. We want you to feel confident discussing your ideas and how they can impact trading directly.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Associate AI/ML Researcher for Automated Trading Strategies
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your tech and AI skills in your application. We want to see how your background can contribute to our innovative approach in automated trading strategies.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experience and what you can bring to the table.
Tailor Your Application: Don’t just send a generic application! We love when candidates take the time to tailor their applications to our specific role. Mention how your skills align with our goals in AI/ML for trading.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI/ML Stuff
Brush up on your knowledge of AI and machine learning concepts, especially those relevant to trading strategies. Be ready to discuss predictive models you've worked with and how they can be applied in a financial context.
✨Showcase Your Independence
This role values independence, so be prepared to share examples of projects where you took the lead. Highlight how you approached challenges and made decisions without much oversight.
✨Familiarise Yourself with Trading Strategies
Even if you don’t have a finance background, it’s crucial to understand basic trading strategies. Research common terms and concepts in systematic trading to demonstrate your interest and willingness to learn.
✨Prepare Questions About Their Tech Stack
Since you'll be integrating models into strategies, ask about the tools and technologies they use. This shows your enthusiasm for the role and helps you gauge if their environment aligns with your skills.
