Backend Software Engineer Python API
Backend Software Engineer Python API

Backend Software Engineer Python API

South Kensington Full-Time 72000 - 108000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a team to build a quant library and collaborate with Quants.
  • Company: Be part of one of the world's oldest Hedge Funds managing over $10 billion.
  • Benefits: Enjoy a competitive salary up to £130k and a dynamic work environment.
  • Why this job: Make a real impact in a senior role while working with cutting-edge technology.
  • Qualifications: Experience in Python and backend development is essential.
  • Other info: This is a hands-on position ideal for tech enthusiasts.

The predicted salary is between 72000 - 108000 £ per year.

One of the world's oldest Hedge Funds with over $10 billion under management is seeking a technologist Backend Software Engineer to join their Quant Analytics team to build a quant library, working closely with Quants as the go to person for software engineering within the team. This is a senior, hands-on role where you can make a real impact.

Backend Software Engineer Python API employer: Client Server

As a leading Hedge Fund with a rich history and substantial assets under management, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our London office offers competitive salaries, comprehensive benefits, and ample opportunities for professional growth, making it an ideal environment for talented Backend Software Engineers to thrive and contribute meaningfully to cutting-edge projects alongside industry experts.
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Contact Detail:

Client Server Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Backend Software Engineer Python API

✨Tip Number 1

Familiarise yourself with the specific technologies and frameworks used in backend development, particularly Python and API design. Being able to discuss your experience with these tools in detail will show your technical prowess during interviews.

✨Tip Number 2

Network with professionals in the finance and tech sectors, especially those who work in hedge funds or quantitative analytics. Attend industry meetups or online webinars to make connections that could lead to referrals.

✨Tip Number 3

Prepare to demonstrate your problem-solving skills through coding challenges or technical assessments. Practising common algorithms and data structures can help you perform well in these scenarios.

✨Tip Number 4

Research the company’s culture and values, as well as their recent projects or achievements. This knowledge will allow you to tailor your conversations and show genuine interest during interviews, making you a more appealing candidate.

We think you need these skills to ace Backend Software Engineer Python API

Proficiency in Python
Experience with RESTful APIs
Understanding of Quantitative Analysis
Familiarity with financial markets and instruments
Strong problem-solving skills
Knowledge of database management (SQL, NoSQL)
Experience with version control systems (e.g., Git)
Ability to work collaboratively in a team environment
Excellent communication skills
Experience with cloud services (AWS, Azure, etc.)
Performance optimisation techniques
Debugging and troubleshooting skills
Agile development methodologies
Unit testing and test-driven development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python and API development. Include specific projects or roles where you've worked closely with quantitative analysts or in a similar environment.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your understanding of hedge funds and how your skills can contribute to building a quant library.

Showcase Relevant Skills: Emphasise your technical skills relevant to the position, such as experience with backend frameworks, database management, and any familiarity with quantitative analysis tools or methodologies.

Proofread Your Application: Before submitting, carefully proofread your application materials. Look for any grammatical errors or typos, and ensure that your formatting is consistent and professional.

How to prepare for a job interview at Client Server

✨Showcase Your Python Expertise

Make sure to highlight your experience with Python, especially in building APIs. Be prepared to discuss specific projects where you've implemented Python solutions and how they contributed to the overall success of the project.

✨Understand Quantitative Analytics

Familiarise yourself with the basics of quantitative analytics and how software engineering supports this field. Being able to speak the language of Quants will demonstrate your ability to collaborate effectively within the team.

✨Prepare for Technical Questions

Expect technical questions that assess your problem-solving skills and coding abilities. Practise coding challenges related to backend development and API design to ensure you're ready to tackle these during the interview.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's technology stack, team dynamics, and the specific challenges the Quant Analytics team faces. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.

Backend Software Engineer Python API
Client Server
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  • Backend Software Engineer Python API

    South Kensington
    Full-Time
    72000 - 108000 £ / year (est.)

    Application deadline: 2027-05-17

  • C

    Client Server

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