At a Glance
- Tasks: Design and develop data infrastructure platforms for systematic trading and research.
- Company: Leading Investment Manager in Greater London with a focus on innovation.
- Benefits: Competitive salary up to £100k, potential for permanent position, and professional growth.
- Why this job: Join a dynamic team and shape the future of quant trading technology.
- Qualifications: Degree in a quantitative field and 5+ years of software engineering experience.
- Other info: Exciting opportunity to work in a fast-paced environment with career advancement.
The predicted salary is between 60000 - 84000 £ per year.
A leading Investment Manager client seeks an experienced Software Engineer for an initial 6-month engagement in Greater London. The role involves designing and developing data infrastructure platforms for systematic trading and research.
Candidates should have a degree in a quantitative field and over 5 years of software engineering experience, particularly with Java and Python.
This position offers a competitive salary of up to £100k. There is potential to be made permanent after the initial contract period.
Senior Software Engineer - Data Platforms for Quant Trading employer: G MASS Consulting
Contact Detail:
G MASS Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - Data Platforms for Quant Trading
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. We all know that sometimes it’s not just what you know, but who you know that can land you that Senior Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data infrastructure or quantitative trading. We want to see your Java and Python prowess in action!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common algorithms and data structures, as well as system design questions. We’ve got your back with resources to help you ace those tricky questions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you every step of the way in landing that dream job in Greater London.
We think you need these skills to ace Senior Software Engineer - Data Platforms for Quant Trading
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Java and Python in your application. We want to see how you've used these languages in real-world projects, especially in data infrastructure or trading contexts.
Quantitative Background Matters: Since a degree in a quantitative field is essential, don’t forget to mention your educational background. We’re keen on seeing how your studies relate to the role, so connect the dots for us!
Tailor Your Application: Take the time to customise your CV and cover letter for this specific role. We love seeing candidates who understand our needs and can articulate how they fit into our vision for data platforms in quant 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 this exciting opportunity with us!
How to prepare for a job interview at G MASS Consulting
✨Know Your Tech Stack
Make sure you’re well-versed in Java and Python, as these are crucial for the role. Brush up on your coding skills and be ready to discuss specific projects where you've used these languages, especially in data infrastructure.
✨Understand Quantitative Concepts
Since this position is focused on quantitative trading, it’s essential to have a solid grasp of relevant concepts. Be prepared to explain how your background in a quantitative field has influenced your software engineering work.
✨Showcase Your Problem-Solving Skills
During the interview, expect technical questions that assess your problem-solving abilities. Practice coding challenges and be ready to walk through your thought process clearly and logically.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data platforms and their approach to systematic trading. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.