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- Tasks: Lead the development of trading engines and APIs in a dynamic financial environment.
- Company: Top financial services firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, career growth opportunities, and a fast-paced learning environment.
- Why this job: Join a team of experts and make an impact in the world of finance.
- Qualifications: Formal training in Software Engineering and strong analytical skills required.
- Other info: Collaborate with quants and traders for exciting projects.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services firm in the Greater London area is hiring a Lead Software Engineer to work on trading and investment projects. You will collaborate with developers, quants, and traders, focusing on developing engines, services, and APIs while applying disciplined code management.
Candidates should have formal training in Software Engineering and strong analytical skills. Opportunities for career growth and learning in a fast-paced environment are provided.
Lead Python Engineer for Front Office Quant Trading in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Python Engineer for Front Office Quant Trading in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to trading and investment, and don’t be shy about mentioning you’re on the lookout for opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading or quantitative analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of financial concepts. Practice common coding challenges and be ready to discuss how your work has impacted previous projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Lead Python Engineer for Front Office Quant Trading in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant projects in trading or investment. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you the perfect fit. We love seeing enthusiasm and a clear understanding of what we do.
Showcase Your Analytical Skills: Since strong analytical skills are key for this position, include examples of how you've used these skills in past roles. Whether it's through problem-solving or data analysis, we want to see your thought process in action!
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at J.P. Morgan
✨Know Your Python Inside Out
As a Lead Python Engineer, you’ll need to demonstrate your expertise in Python. Brush up on advanced concepts, libraries, and frameworks relevant to trading and investment projects. Be ready to discuss your past projects and how you've applied Python to solve complex problems.
✨Understand the Financial Landscape
Since this role is in a financial services firm, having a solid grasp of trading concepts and market dynamics will set you apart. Familiarise yourself with quant trading strategies and how software engineering plays a role in optimising these processes.
✨Showcase Your Collaboration Skills
You’ll be working closely with developers, quants, and traders, so highlight your teamwork experience. Prepare examples of how you’ve successfully collaborated on projects, resolved conflicts, or contributed to a team’s success in a fast-paced environment.
✨Prepare for Technical Challenges
Expect technical questions or coding challenges during the interview. Practice common algorithms and data structures, and be ready to explain your thought process. This will showcase your analytical skills and disciplined code management approach.
