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- Tasks: Join an agile team to develop advanced tech solutions for quantitative trading.
- Company: Leading global financial services firm with a focus on diversity and inclusion.
- Benefits: Competitive salary and the chance to impact market-leading products.
- Why this job: Make a real difference in the world of finance with cutting-edge technology.
- Qualifications: Over five years of software engineering experience and Python expertise.
The predicted salary is between 48000 - 72000 £ per year.
A leading global financial services firm seeks a Python Quant Dev Associate in the City of Westminster. You will join an agile team, developing advanced technology solutions for quantitative trading.
The role requires:
- Over five years of software engineering experience
- Expertise in Python
- A strong understanding of data processing
This position offers an opportunity to significantly impact market-leading products while contributing to a culture of diversity and inclusion.
Senior Python Quant Developer — Systematic Equities Trading in City of Westminster employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Quant Developer — Systematic Equities Trading in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work in quantitative trading. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data processing or trading algorithms. This will not only demonstrate your expertise but also make you stand out from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of quantitative concepts. Practice common coding challenges and be ready to discuss your past projects in detail—this is where we can really shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to our culture of diversity and inclusion.
We think you need these skills to ace Senior Python Quant Developer — Systematic Equities Trading in City of Westminster
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your expertise in Python throughout your application. We want to see how you've used it in past projects, especially in quantitative trading or data processing.
Quantify Your Experience: When detailing your software engineering experience, be specific! Use numbers and examples to showcase your impact in previous roles. This helps us understand the value you can bring to our team.
Emphasise Teamwork and Agility: Since we work in an agile environment, mention any experience you have with agile methodologies. Talk about how you've collaborated with teams to develop tech solutions, as this is key for us.
Diversity and Inclusion Matter: We’re all about creating a diverse and inclusive workplace. If you have experiences or insights related to this, don’t hesitate to include them in your application. It shows us you align with our values!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your previous projects and how you've used Python in quantitative trading. They’ll likely ask you to solve coding problems, so practice common algorithms and data structures.
✨Understand the Financial Landscape
Since this role is in systematic equities trading, it’s crucial to have a solid grasp of financial concepts and market dynamics. Familiarise yourself with trading strategies and how technology plays a role in them. This will show that you’re not just a tech whiz but also understand the business side.
✨Showcase Your Problem-Solving Skills
Be ready to demonstrate your analytical thinking and problem-solving abilities. Prepare for scenario-based questions where you might need to explain how you would approach a specific trading challenge or data processing task. Use examples from your past experience to illustrate your thought process.
✨Emphasise Team Collaboration
This position is part of an agile team, so highlight your experience working collaboratively. Discuss how you’ve contributed to team projects and how you handle feedback. Showing that you can work well with others and contribute to a diverse culture will be key to making a great impression.
