Real-Time Python Engineer - Trading Data & Risk in London

Real-Time Python Engineer - Trading Data & Risk in London

London Full-Time 60000 - 84000 € / year (est.) No home office possible
Hunter Bond

At a Glance

  • Tasks: Design and build high-reliability platforms for real-time trading data and risk management.
  • Company: Hunter Bond, a leader in trading technology with a focus on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on collaboration and cutting-edge technology.
  • Why this job: Join a specialised team and make a significant impact in the trading industry.
  • Qualifications: Degree in Computer Science and 4+ years of experience in software or data systems.

The predicted salary is between 60000 - 84000 € per year.

Hunter Bond is seeking a high-impact engineer for their specialized team responsible for a real-time risk and trading data platform. The role entails designing high-reliability platforms that manage large amounts of trading data, with responsibilities ranging from building data services to collaborating with traders.

Ideal candidates have a degree in Computer Science and over 4 years of experience in production software or data systems, along with skills in distributed systems and performance-sensitive environments.

Real-Time Python Engineer - Trading Data & Risk in London employer: Hunter Bond

At Hunter Bond, we pride ourselves on fostering a dynamic and innovative work culture that empowers our engineers to excel in their roles. Located in a vibrant tech hub, we offer competitive benefits, continuous professional development opportunities, and a collaborative environment where your contributions directly impact our cutting-edge trading data platform. Join us to be part of a team that values creativity and excellence in the fast-paced world of finance technology.

Hunter Bond

Contact Detail:

Hunter Bond Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Real-Time Python Engineer - Trading Data & Risk in London

Tip Number 1

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

Tip Number 2

Show off your skills! If you’ve got a GitHub or portfolio, make sure it’s up-to-date with your best projects. Real-time systems and trading data examples will catch their eye.

Tip Number 3

Prepare for technical interviews by brushing up on distributed systems and performance-sensitive environments. We recommend doing mock interviews with friends or using online platforms to get comfortable.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Real-Time Python Engineer - Trading Data & Risk in London

Python
Real-Time Data Processing
Distributed Systems
Data Services Development
High-Reliability Systems Design
Performance Optimisation
Collaboration with Traders

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in building high-reliability platforms and working with trading data. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about real-time data systems and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!

Showcase Your Technical Skills:Since we’re looking for someone with a solid background in distributed systems, make sure to mention any specific technologies or frameworks you’ve worked with. We love seeing concrete examples of your work in production software!

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’s super easy – just follow the prompts!

How to prepare for a job interview at Hunter Bond

Know Your Tech Inside Out

Make sure you brush up on your Python skills, especially in the context of real-time data processing. Be prepared to discuss your experience with distributed systems and how you've tackled performance-sensitive challenges in previous roles.

Showcase Your Problem-Solving Skills

During the interview, be ready to walk through specific examples where you've designed high-reliability platforms. Use the STAR method (Situation, Task, Action, Result) to clearly articulate your thought process and the impact of your work.

Understand the Trading Environment

Familiarise yourself with trading data and risk management concepts. Being able to speak the language of traders will not only impress your interviewers but also show that you're genuinely interested in the role and its challenges.

Ask Insightful Questions

Prepare a few thoughtful questions about the team’s current projects or the technologies they use. This shows your enthusiasm for the position and helps you gauge if the company culture aligns with your values.