Quant Software Engineer — Python in England
Quant Software Engineer — Python

Quant Software Engineer — Python in England

England Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Enhance a quant platform using advanced Python and tackle technical challenges.
  • Company: Global financial services firm based in London with a dynamic work culture.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Why this job: Make a significant impact on optimization processes across various asset classes.
  • Qualifications: Strong Python and PySpark skills, with a proactive approach to problem-solving.
  • Other info: Collaborative environment with excellent career advancement opportunities.

The predicted salary is between 43200 - 72000 £ per year.

A global financial services firm in London is seeking an experienced Software Engineer - Quant to enhance their quant platform. The role emphasizes advanced Python skills and collaboration with business partners. You will tackle technical challenges in a dynamic environment and contribute significantly to optimization processes across various asset classes. Ideal candidates are proactive and possess strong Python and PySpark expertise.

Quant Software Engineer — Python in England employer: Barings LLC

As a leading global financial services firm based in London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to tackle complex challenges. With a strong emphasis on professional development, we offer numerous growth opportunities and support for continuous learning, making us an excellent employer for those looking to make a meaningful impact in the quant finance space. Our dynamic environment not only encourages creativity but also rewards proactive problem-solving, ensuring that every team member plays a vital role in our success.
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Contact Detail:

Barings LLC Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quant Software Engineer — Python in England

Tip Number 1

Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a GitHub profile showcasing your Python projects. This is a great way to demonstrate your expertise and passion for coding.

Tip Number 3

Prepare for those technical interviews! Brush up on your Python and PySpark knowledge, and practice solving quant problems. We all know how tricky they can be!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Quant Software Engineer — Python in England

Python
PySpark
Collaboration
Technical Problem-Solving
Quantitative Analysis
Optimisation Processes
Dynamic Environment Adaptability
Proactivity

Some tips for your application 🫡

Show Off Your Python Skills: Make sure to highlight your advanced Python skills in your application. We want to see how you've used Python in past projects, especially in a quant context. Don't hold back on showcasing your expertise!

Tailor Your Application: Take the time to tailor your CV and cover letter to the job description. We love seeing candidates who understand our needs and can demonstrate how their experience aligns with the role. It shows us you're genuinely interested!

Be Proactive in Your Approach: We’re looking for proactive candidates, so don’t just list your skills—tell us how you’ve applied them to solve real-world problems. Share specific examples of how you’ve tackled challenges in previous roles.

Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and ensures it lands in the right hands. We can’t wait to hear from you!

How to prepare for a job interview at Barings LLC

Master Your Python Skills

Make sure you brush up on your advanced Python skills before the interview. Be ready to discuss specific projects where you've used Python and PySpark, as well as any challenges you faced and how you overcame them.

Know the Quant Platform

Familiarise yourself with the quant platform the company uses. Research common tools and technologies in the financial services sector, and be prepared to discuss how your experience aligns with their needs.

Show Your Collaborative Spirit

Since the role involves working closely with business partners, think of examples that showcase your teamwork and communication skills. Be ready to explain how you’ve successfully collaborated on past projects.

Prepare for Technical Challenges

Expect to tackle some technical questions or problems during the interview. Practice coding challenges related to optimisation processes and asset classes, as this will demonstrate your problem-solving abilities in a dynamic environment.

Quant Software Engineer — Python in England
Barings LLC
Location: England

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