Python Engineer: Real-Time Ultra-Low Latency Trading in London
Python Engineer: Real-Time Ultra-Low Latency Trading

Python Engineer: Real-Time Ultra-Low Latency Trading in London

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

  • Tasks: Develop and maintain systems for real-time market data and trade execution.
  • Company: High-frequency trading firm in Greater London with a focus on technology.
  • Benefits: Competitive compensation and the chance to work on impactful systems.
  • Why this job: Tackle complex engineering challenges in the exciting world of finance.
  • Qualifications: At least 2 years of Python experience; familiarity with C++, SQL, and financial markets.
  • Other info: Join a dynamic team and make a real impact in live trading.

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

A high-frequency trading firm in Greater London is looking for a Python Software Engineer to join their technology team. You will develop and maintain systems for real-time market data and trade execution, tackling complex engineering challenges.

The ideal candidate has at least 2 years of Python experience, familiarity with C++, SQL, and a strong interest in financial markets.

This role offers competitive compensation and the chance to work on impactful systems used in live trading.

Python Engineer: Real-Time Ultra-Low Latency Trading in London employer: Durlston Partners

Join a leading high-frequency trading firm in Greater London, where innovation meets opportunity. We pride ourselves on fostering a collaborative work culture that encourages continuous learning and professional growth, offering competitive compensation and the chance to work on cutting-edge technology that drives real-time trading. With a focus on employee development and a dynamic environment, we provide a unique platform for those passionate about finance and technology to thrive.
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Contact Detail:

Durlston Partners Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Python Engineer: Real-Time Ultra-Low Latency Trading in London

✨Tip Number 1

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

✨Tip Number 2

Show off your skills! Build a small project or contribute to open-source related to trading systems. It’s a great way to demonstrate your Python chops and passion for finance.

✨Tip Number 3

Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank to get in the zone.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can give you a better shot at landing that Python Engineer role.

We think you need these skills to ace Python Engineer: Real-Time Ultra-Low Latency Trading in London

Python
C++
SQL
Real-Time Systems Development
Market Data Management
Trade Execution Systems
Complex Problem Solving
Interest in Financial Markets

Some tips for your application 🫡

Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We want to see how you've tackled complex problems and what projects you've worked on that relate to real-time systems.

Connect the Dots with Financial Markets: If you’ve got a passion for financial markets, let us know! Share any relevant experiences or projects that demonstrate your interest and understanding of trading and market dynamics.

Tailor Your Application: Don’t just send a generic application. We love it when candidates tailor their CVs and cover letters to our specific role. Mention how your skills align with the challenges we face in high-frequency trading.

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 Durlston Partners

✨Know Your Python Inside Out

Make sure you brush up on your Python skills before the interview. Be prepared to discuss your past projects and how you've used Python to solve complex problems, especially in real-time systems. Practising coding challenges can also help you demonstrate your proficiency.

✨Understand Financial Markets

Since this role is in a high-frequency trading firm, having a solid grasp of financial markets is crucial. Familiarise yourself with key concepts like market data, trade execution, and latency issues. This knowledge will not only impress your interviewers but also show your genuine interest in the field.

✨Prepare for Technical Questions

Expect technical questions that may involve algorithms, data structures, or system design. We recommend reviewing common interview questions related to low-latency systems and trading algorithms. Practising these types of questions can help you articulate your thought process clearly during the interview.

✨Showcase Your Teamwork Skills

Collaboration is key in tech teams, especially in fast-paced environments like trading firms. Be ready to share examples of how you've worked effectively in teams, tackled challenges together, and contributed to successful projects. This will highlight your ability to fit into their team dynamic.

Python Engineer: Real-Time Ultra-Low Latency Trading in London
Durlston Partners
Location: London
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  • Python Engineer: Real-Time Ultra-Low Latency Trading in London

    London
    Full-Time
    43200 - 72000 £ / year (est.)
  • D

    Durlston Partners

    50-100
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