Research Engineer

Research Engineer

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and develop high-performance, fault-tolerant services for a revolutionary trading platform.
  • Company: Join QFEX, a pioneering fintech startup transforming traditional financial markets.
  • Benefits: Visa sponsorship, lunch allowance, 25 days holiday, and vibrant company culture.
  • Why this job: Be part of a team reshaping the future of finance with cutting-edge technology.
  • Qualifications: STEM degree, Python experience, and 3+ years in real-time production systems.
  • Other info: Collaborate with top minds in fintech and enjoy excellent career growth opportunities.

The predicted salary is between 36000 - 60000 £ per year.

Overview

How Markets Should Be. Traditional financial markets are broken. We are fixing them. QFEX is the first perpetual futures exchange to allow 24/7, high leverage on traditional financial assets. Our vision: this kind of exchange will replace the entire $100bn TradFi exchange, clearing and brokerage industry. Our mission: make QFEX that exchange. We were founded by Cambridge Maths duo Annanay Kapila and Joshua Wharton, who previously worked at Tower Research Capital and Citadel, respectively. The team also includes former staff from Jump, Barclays, and more. QFEX raised $XXm from a group of investors including Y Combinator, an early investor in companies like Coinbase, Reddit and Monzo.

Responsibilities

  • Reliability & performance: Design fault-tolerant, low-latency, always-available services; write load tests and chaos suites; tune until p99 is boring.
  • Research: Set up and carry out research related activities relating to exchanges and microstructure.
  • Technical direction: Evaluate tools, set coding standards, and guide architectural decisions as we scale.
  • Culture & hiring: Share and receive new knowledge and experiences, set impeccable cultural standards, and help interview the next engineers.

Qualifications

What You’ll Need

  • A STEM degree from a University that is highly ranked in your home country (at the level of Oxbridge/ Imperial in the UK, HYMPS in the US, or a top IIT in India).
  • Experience with Python and common data science libraries like pandas and numpy.
  • 3+ years building and working on real-time production Exchanges or HFT Systems.
  • The desire to create and impose a responsible culture of tests, metrics, and graceful degradation.
  • Impeccable levels of trust in yourself and others, including the ability to make decisions in minutes, not days.

Bonus points

  • Fintech, exchange, or low-latency experience.
  • Experience with a high-performance language like Rust, C or C++.
  • Deep Kubernetes or infrastructure-as-code experience.

Benefits

  • Option to sponsor your visa to work in the UK (after 1 year).
  • New York City office, if desired.
  • Lunch allowance and regular company events.
  • The ability to grow alongside some of the best minds in fintech, as well as set standards and culture.
  • 25 days holiday + bank holidays.

Research Engineer employer: QFEX

At QFEX, we are not just revolutionising financial markets; we are committed to fostering a dynamic and inclusive work environment that empowers our employees to thrive. With opportunities for professional growth alongside industry leaders, a supportive culture that values knowledge sharing, and attractive benefits including a lunch allowance and generous holiday, we ensure that our team is well-equipped to innovate and excel in the fast-paced world of fintech.
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Contact Detail:

QFEX Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the fintech space, especially those who’ve worked at places like QFEX. Attend industry meetups or webinars and don’t be shy about striking up conversations. You never know who might have a lead on your dream job!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to real-time production exchanges or HFT systems. Share it on platforms like GitHub and make sure it’s easy for potential employers to see what you can do.

✨Tip Number 3

Prepare for technical interviews by brushing up on your Python and data science libraries. Practice coding challenges and system design questions that are relevant to the role. We want to see how you think and solve problems under pressure!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us. Let’s make this happen together!

We think you need these skills to ace Research Engineer

Python
Data Science Libraries (pandas, numpy)
Real-time Production Systems
High-Frequency Trading (HFT) Systems
Fault-tolerant System Design
Low-latency Service Development
Research Methodology
Architectural Decision Making
Cultural Standards Setting
Interviewing Skills
High-performance Programming Languages (Rust, C, C++)
Kubernetes
Infrastructure-as-Code

Some tips for your application 🫡

Show Your Passion for Innovation: When writing your application, let us see your enthusiasm for fixing broken markets. Share any personal projects or experiences that highlight your drive to innovate in the fintech space.

Highlight Relevant Experience: Make sure to detail your experience with real-time production exchanges or HFT systems. We want to know how your background aligns with our mission and what unique skills you bring to the table.

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your qualifications and experiences, as we appreciate direct communication that gets to the heart of the matter.

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details 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 QFEX

✨Know Your Stuff

Make sure you brush up on your knowledge of financial markets and trading systems. Understand the basics of perpetual futures and how they differ from traditional exchanges. This will show that you're genuinely interested in the role and the company’s mission.

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Python and data science libraries like pandas and numpy. Bring examples of past projects where you've built real-time production systems or worked on HFT systems. This is your chance to shine!

✨Cultural Fit Matters

QFEX values a strong culture, so be ready to talk about how you can contribute to it. Share experiences where you've set high standards or helped improve team dynamics. They want to see that you can help shape their culture positively.

✨Ask Smart Questions

Prepare insightful questions about the company's vision and technical challenges they face. This not only shows your interest but also your understanding of the industry. It’s a great way to engage with the interviewers and leave a lasting impression.

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