C++ Engineer

C++ Engineer

London Full-Time 42000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and optimise high-volume data systems for major financial institutions.
  • Company: Join a leading financial services firm managing $250bn in assets.
  • Benefits: Enjoy a competitive salary, potential contract extension, and great perks.
  • Why this job: Be part of a passionate team tackling complex data challenges in finance.
  • Qualifications: Degree in Computer Science and C++ experience required; finance background preferred.
  • Other info: Work 3 days onsite in vibrant Old Street, London.

The predicted salary is between 42000 - 84000 £ per year.

Salary: £70,000 (12 month FTC with strong likelihood of extending) + benefits

Location: 3 days onsite p/week, London (Old Street)

Passionate about developing solutions for large amounts of data? Do you enjoy working in the realm of finance? If you want to work in a large, enterprise organisation with 10,000+ people, this one is for you!

This established company with approximately $250bn in assets under advisement is looking for a C++ Engineer on a 12 month FTC to join the team to help build products interpreting significant volumes of financial data for some of the biggest finance institutions globally. You will be taking ownership of enhancing the performance and scalability of systems that handle the global distribution and storage of over 40 billion messages every day.

As the C++ Engineer, you will:

  • Maintain and optimise the company’s large-scale, high-volume data feeds
  • Manage and implement updates from hundreds of data vendors
  • Analyse and interpret complex data sets from a wide range of financial institutions

Tech Stack: C++, Boost, STL, AWS

You’ll be a great fit if you have:

  • A degree in Computer Science (or related field) from a top global university
  • C++ software development experience working with STL/Boost
  • A background working in the financial services industry

Ready to help join a passionate and strong team? Apply now and be part of this exciting journey!

C++ Engineer employer: Understanding Recruitment

Join a leading financial services organisation in the heart of London, where innovation meets opportunity. As a C++ Engineer, you'll thrive in a collaborative work culture that values your contributions and offers extensive growth opportunities within a large enterprise environment. With competitive benefits and the chance to work on cutting-edge technology handling vast amounts of data, this role promises a rewarding career path in a dynamic industry.
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Contact Detail:

Understanding Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land C++ Engineer

✨Tip Number 1

Familiarise yourself with the financial services industry. Understanding the specific challenges and trends in finance will help you speak confidently about how your C++ skills can address these issues during interviews.

✨Tip Number 2

Brush up on your knowledge of data structures and algorithms, particularly those relevant to high-volume data processing. Being able to discuss these concepts will demonstrate your technical expertise and problem-solving abilities.

✨Tip Number 3

Network with professionals in the financial tech space. Attend meetups or online forums where you can connect with others in the industry, as personal referrals can significantly boost your chances of landing an interview.

✨Tip Number 4

Prepare for technical interviews by practising coding challenges that focus on C++ and data manipulation. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with common interview questions.

We think you need these skills to ace C++ Engineer

C++ Programming
Boost Library
Standard Template Library (STL)
Data Analysis
Performance Optimisation
Scalability Solutions
Financial Data Interpretation
Software Development Lifecycle
Problem-Solving Skills
Collaboration and Teamwork
Attention to Detail
Cloud Services (AWS)
Version Control Systems (e.g., Git)
Agile Methodologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your C++ software development experience, particularly with STL and Boost. Emphasise any relevant projects or roles in the financial services industry to show you understand the sector.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for developing solutions for large data sets. Mention specific examples of how you've optimised systems or handled complex data in previous roles, linking them to the job requirements.

Highlight Relevant Skills: In your application, clearly outline your technical skills, especially in C++, AWS, and data management. Use bullet points to make it easy for the hiring team to see your qualifications at a glance.

Show Enthusiasm for the Role: Convey your excitement about the opportunity to work in finance and with large-scale data systems. Companies appreciate candidates who are genuinely interested in their mission and the challenges they face.

How to prepare for a job interview at Understanding Recruitment

✨Showcase Your C++ Expertise

Be prepared to discuss your experience with C++ in detail. Highlight specific projects where you've used STL and Boost, and be ready to explain the challenges you faced and how you overcame them.

✨Understand Financial Data

Since the role involves working with large volumes of financial data, brush up on your knowledge of financial services. Familiarise yourself with common data types and structures used in finance to demonstrate your understanding during the interview.

✨Demonstrate Problem-Solving Skills

Expect technical questions that assess your problem-solving abilities. Practice coding challenges related to data handling and optimisation, as these will likely be a focus given the nature of the role.

✨Prepare Questions About the Company

Research the company’s tech stack and recent projects. Prepare insightful questions about their systems and processes, showing your genuine interest in how they manage their data feeds and the technologies they use.

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