Software Engineer - Reference Data in London

Software Engineer - Reference Data in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Optiver

At a Glance

  • Tasks: Join our team to enhance and innovate reference data products for trading strategies.
  • Company: Optiver, a leading market-making institution with a collaborative culture.
  • Benefits: Performance bonuses, 27 vacation days, daily meals, and private medical insurance.
  • Other info: Opportunities for international career growth and continuous learning.
  • Why this job: Make a real impact in financial markets while working with cutting-edge technology.
  • Qualifications: Experience in C++, C, C#, or Python and strong engineering instincts.

The predicted salary is between 60000 - 80000 £ per year.

Reference data is the foundation of every trading decision we make. From financial instruments and corporate actions to market calendars, counterparty data, and alternative datasets, the breadth and complexity of reference data continues to grow alongside the increasing sophistication and interconnected nature of global markets. We are looking for a Data Software Engineer to join our Global Data Engineering team to expand the coverage, quality, and robustness of our reference data products, which power low, medium, and high frequency trading strategies across the firm.

What you'll do:

  • Establish vision and technical direction for major initiatives across our reference data platform
  • Expand and harden existing reference data products — improving coverage across asset classes and datasets, raising data quality, and increasing operational robustness
  • Design, develop, support, and maintain critical components of our data infrastructure that traders and researchers rely on every day
  • Ensure new and existing programs adhere to our coding, architectural, and operational standards
  • Develop a deep understanding of trading, exchanges, and the diverse data domains that underpin them
  • Collaborate deeply with traders, engineers, and researchers to identify gaps, prioritise improvements, and deliver datasets that meet the bar of a top-tier trading firm

What you'll need:

  • Strong engineering instincts and a deep understanding of computer science fundamentals
  • Experience writing software in C++, C, C# and/or Python
  • A pragmatic approach to data modelling — able to balance correctness, completeness, and the realities of messy upstream sources
  • Innovative, big-picture thinking grounded in real-world pragmatism
  • Desire to continuously improve in a rapidly evolving environment
  • Readiness to set technical direction, promote engineering principles, and do the right things

Who we are

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

What you'll get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

  • A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool.
  • 27 paid vacation days plus all UK public holidays.
  • Daily breakfast and lunch, along with support on commuting expenses.
  • Private medical insurance, pension scheme, and ClassPass fitness membership.
  • Training and continuous learning opportunities, including access to conferences and tech events.
  • International transfer opportunities for global career growth.

How to apply

Are you interested in furthering your career on one of the most dynamic and exciting trading floors in Europe? Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Diversity statement

Optiver is committed to diversity and inclusion.

Software Engineer - Reference Data in London employer: Optiver

At Optiver, we pride ourselves on being an exceptional employer, offering a vibrant culture of collaboration and excellence in the heart of Europe's dynamic trading landscape. Our commitment to continuous improvement is reflected in our extensive benefits package, including generous vacation days, performance-based bonuses, and opportunities for international career growth, all within a supportive environment that fosters innovation and professional development.

Optiver

Contact Details:

Optiver Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer - Reference Data in London

Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insights and maybe even a referral!

Tip Number 2

Prepare for those technical interviews! Brush up on your coding skills in C++, Python, or whatever language you're most comfortable with. Practising common algorithms and data structures can really set you apart.

Tip Number 3

Show off your passion for trading and data! Be ready to discuss how you’ve tackled real-world problems in your past projects. This will demonstrate your innovative thinking and practical approach.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Optiver.

We think you need these skills to ace Software Engineer - Reference Data in London

C++
C
C#
Python
Data Modelling
Software Development
Computer Science Fundamentals

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Engineer role. Highlight your experience with C++, C, C#, or Python, and any relevant projects that showcase your data modelling skills.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about reference data and trading. Share specific examples of how you've tackled challenges in previous roles and how you can contribute to our team.

Showcase Your Problem-Solving Skills:In your application, don’t just list your technical skills; demonstrate how you've used them to solve real-world problems. We love innovative thinkers who can apply their knowledge pragmatically!

Apply Through Our Website:Remember 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 keeps everything organised on our end.

How to prepare for a job interview at Optiver

Know Your Data Inside Out

Before the interview, dive deep into reference data concepts and how they impact trading decisions. Familiarise yourself with financial instruments, corporate actions, and market calendars. This knowledge will help you demonstrate your understanding of the role and its significance.

Showcase Your Coding Skills

Be prepared to discuss your experience with C++, C, C#, and Python. Bring examples of past projects where you've applied these languages, especially in data modelling. Practising coding challenges related to data structures and algorithms can also give you an edge.

Understand the Trading Environment

Research the trading strategies used by firms like Optiver. Knowing how reference data supports low, medium, and high-frequency trading will allow you to speak confidently about the role's impact on traders and researchers. This shows you're not just a techie but also understand the business side.

Prepare for Collaboration Questions

Expect questions about teamwork and collaboration, as this role involves working closely with traders and engineers. Think of examples where you've successfully collaborated on projects, highlighting your ability to identify gaps and prioritise improvements in a team setting.