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- Tasks: Enhance a quant platform using advanced Python and PySpark skills.
- Company: Global financial services firm based in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Tackle technical challenges and make a significant impact in finance.
- Qualifications: Strong Python and PySpark expertise with a proactive attitude.
- Other info: Collaborative culture with a focus on optimization across asset classes.
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 & PySpark (London) employer: Barings LLC
Contact Detail:
Barings LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Software Engineer — Python & PySpark (London)
✨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 repo showcasing your Python and PySpark projects. This gives potential employers a taste of what you can do beyond the application.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've tackled challenges in previous roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quant Software Engineer — Python & PySpark (London)
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 any cool optimisations or technical challenges you've tackled!
Collaborate Like a Pro: Since this role involves working closely with business partners, let us know about your collaborative experiences. Share examples of how you've worked with others to solve problems or enhance processes. Teamwork makes the dream work, right?
Tailor Your Application: Take a moment to tailor your application specifically for this role. We love seeing candidates who understand our needs and can articulate how their skills align with the job description. A little extra effort goes a long way!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Barings LLC
✨Master Your Python & PySpark Skills
Make sure you brush up on your Python and PySpark knowledge before the interview. Be ready to discuss specific projects where you've used these technologies, and think about how you can demonstrate your problem-solving skills with real-world examples.
✨Understand the Quantitative Finance Landscape
Familiarise yourself with the basics of quantitative finance and the specific asset classes the firm deals with. This will not only show your interest in the role but also help you engage in meaningful discussions with your interviewers about how your skills can contribute to their quant platform.
✨Prepare for Technical Challenges
Expect to face technical challenges during the interview. Practice coding problems related to algorithms and data structures, especially those that can be solved using Python. Websites like LeetCode or HackerRank can be great resources for this.
✨Show Your Collaborative Spirit
Since the role involves working closely with business partners, be prepared to discuss your experience in teamwork and collaboration. Share examples of how you've successfully worked with others to tackle complex problems, as this will highlight your proactive nature and ability to thrive in a dynamic environment.
