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- Tasks: Develop secure, scalable software solutions on the Athena platform using Python and React.
- Company: Leading financial services firm in London with a diverse team culture.
- Benefits: Competitive salary, health benefits, and opportunities to work with the latest technologies.
- Why this job: Join a dynamic team and make an impact in the financial services industry.
- Qualifications: Strong programming skills in Python and React, plus experience in corporate environments.
- Other info: Great opportunity for career growth and collaboration with innovative teams.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services firm in London seeks a Software Engineer II to develop on the Athena platform. This role involves executing software solutions and collaborating closely with teams to create secure, scalable technology products.
The ideal candidate should have strong programming skills in Python and React, along with experience in corporate environments. This position offers an opportunity to contribute to a diverse team culture and engage with the latest technologies.
Software Engineer II: Python/React on Analytics Platform in London employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer II: Python/React on Analytics Platform in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your Python and React projects. This is a great way to demonstrate your coding chops and passion for tech.
✨Tip Number 3
Ace the interview! Research common technical questions related to Python and React, and practice coding challenges. We want to be ready to impress with our problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Software Engineer II: Python/React on Analytics Platform in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and React right from the start. We want to see how your experience aligns with what we’re looking for, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that relate to developing secure and scalable technology products, as that’s what we’re all about at StudySmarter.
Be Yourself: We value a diverse team culture, so let your personality shine through in your application. Share your passion for technology and how you collaborate with others – it’s all part of what makes us unique!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Stack
Make sure you brush up on your Python and React skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Company Culture
Research the financial services firm and their approach to technology. Familiarise yourself with their values and how they promote a diverse team culture. This will help you align your answers with what they’re looking for.
✨Prepare for Collaboration Questions
Since this role involves working closely with teams, be prepared to share examples of how you've successfully collaborated in the past. Think about times when you contributed to a project or resolved conflicts within a team.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some technical questions or coding challenges during the interview. Practice common algorithms and data structures in Python, and think through your problem-solving process out loud to demonstrate your analytical thinking.
