Real-Time FinTech Research Engineer
Real-Time FinTech Research Engineer

Real-Time FinTech Research Engineer

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design low-latency services for real-time fintech exchanges and ensure high standards.
  • Company: Leading fintech exchange in Greater London with a focus on innovation.
  • Benefits: Visa sponsorship, lunch allowance, 25 days holiday plus bank holidays.
  • Why this job: Join a dynamic team and shape the future of fintech with your skills.
  • Qualifications: STEM degree and 3+ years experience in real-time production or HFT systems.
  • Other info: Fast-paced environment with opportunities for professional growth.

The predicted salary is between 48000 - 72000 £ per year.

A leading fintech exchange in Greater London seeks a skilled engineer with a STEM degree and 3+ years of experience in real-time production Exchanges or HFT Systems. Your role involves designing fault-tolerant, low-latency services while ensuring high standards of culture and decision-making speed.

Ideal candidates are proficient in Python and familiar with data science libraries like pandas and numpy.

Benefits include:

  • Visa sponsorship
  • Lunch allowance
  • 25 days of holiday plus bank holidays

Real-Time FinTech Research Engineer employer: QFEX

As a leading fintech exchange in Greater London, we pride ourselves on fostering a dynamic work culture that prioritises innovation and collaboration. Our employees enjoy competitive benefits such as visa sponsorship, a generous lunch allowance, and 25 days of holiday plus bank holidays, all while working in an environment that encourages professional growth and the development of cutting-edge solutions in real-time financial technology.
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Contact Detail:

QFEX Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Real-Time FinTech Research Engineer

✨Tip Number 1

Network like a pro! Reach out to professionals in the fintech space on LinkedIn or attend industry meetups. We can’t stress enough how personal connections can lead to job opportunities.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data science libraries. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding real-time systems. We recommend practicing common algorithms and system design questions to boost your confidence.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Real-Time FinTech Research Engineer

STEM Degree
Real-Time Production Systems
HFT Systems
Fault-Tolerant Design
Low-Latency Services
Python
Data Science Libraries
Pandas
Numpy
High Standards of Culture
Decision-Making Speed

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with real-time production exchanges and HFT systems. We want to see how your STEM background and 3+ years of experience make you the perfect fit for this role!

Get Technical: Don’t forget to mention your proficiency in Python and any experience with data science libraries like pandas and numpy. We love seeing candidates who can dive into the technical details and showcase their coding prowess.

Culture Fit Matters: We value a strong culture and quick decision-making, so share examples of how you've contributed to a positive team environment or made swift decisions in your previous roles. It’s all about showing us you can thrive in our fast-paced setting!

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at QFEX

✨Know Your Tech Inside Out

Make sure you brush up on your Python skills and get familiar with data science libraries like pandas and numpy. Be ready to discuss how you've used these tools in real-time production environments or HFT systems. The more specific examples you can provide, the better!

✨Showcase Your Problem-Solving Skills

Prepare to tackle some technical challenges during the interview. Think about past projects where you designed fault-tolerant, low-latency services. Be ready to explain your thought process and decision-making speed, as this is crucial for the role.

✨Understand the Company Culture

Research the fintech exchange and its values. Understanding their culture will help you align your answers with what they’re looking for. Show that you can contribute positively to their environment and decision-making processes.

✨Ask Insightful Questions

Prepare a few thoughtful questions about the team, projects, or technologies they use. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation!

Real-Time FinTech Research Engineer
QFEX
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Q
  • Real-Time FinTech Research Engineer

    Full-Time
    48000 - 72000 £ / year (est.)
  • Q

    QFEX

    50-100
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