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For Companies At a Glance
- Tasks: Own the lifecycle of market data and solve data issues impacting trading.
- Company: Join Optiver, a leading market-making institution focused on improving financial markets.
- Benefits: Enjoy 27 vacation days, private medical insurance, and a performance-based bonus.
- Why this job: Make a real impact in trading technology while collaborating with talented colleagues.
- Qualifications: 3+ years in Market Data or Trading Technology; SQL and Python skills required.
- Other info: Opportunities for international career growth and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
What you’ll do
- Data Ownership
- Ownership & coordination of the full lifecycle of market data: sourcing, delivery, normalization, storage, and consumption.
- Maintain a clear understanding of how market data feeds into trading systems, research platforms, and downstream processes.
- Investigate data issues across vendors, feeds, internal pipelines, and consuming systems.
- Act as the point of escalation for market data problems that impact trading or research.
- Trading & Development Support
- Work directly with traders and developers to understand how data is used, not just what data is requested.
- Translate trading requirements into concrete market data solutions.
- Push back on data requests when latency, quality, licensing, or cost does not align with the actual use case.
- Help teams understand data limitations, edge cases, and failure scenarios.
- Manage exchange and vendor relationships with a strong grasp of commercial terms and permitted use.
- Interpret licensing rules in the context of real trading system usage.
- Ensure data is compliant without slowing down the business unnecessarily.
- Governance
- Manage entitlements, audits, and internal controls for market data usage.
- Ensure critical data dependencies are understood and documented.
- Reduce operational and trading risk related to market data failures.
- Explain technical data issues clearly to non‑technical stakeholders.
Who you are
- 3+ years of experience in Market Data, Trading Technology, Data Engineering, or a closely related field.
- Direct experience working with exchange data and market data vendors.
- Strong understanding of how market data is used in automated trading and research systems.
- Strong understanding of different data types & nuances in data quality.
- Comfortable working with engineers and discussing system behavior and data flows.
- Working knowledge of SQL and Python for analysis, validation, or automation.
What you’ll get:
- 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:
Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form. Please note, we cannot accept applications via email for data protection reasons. Kindly note that we do not require assistance from third‑parties including agencies in the recruitment of this role.
Market Data Analyst employer: Optiver US LLC
Contact Detail:
Optiver US LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working as Market Data Analysts. A casual chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Get your hands dirty with practical projects. Whether it's analysing market data or building a small trading model, showcasing your skills through real-world examples can make you stand out during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your SQL and Python skills, and be ready to discuss how you've tackled data issues in the past. We want to see your problem-solving chops in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Optiver.
We think you need these skills to ace Market Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Market Data Analyst role. Highlight your experience with market data, trading technology, and any relevant skills like SQL and Python. We want to see how your background aligns with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about market data and how you can contribute to our mission at Optiver. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills; show us how you've used them to solve real problems. Whether it’s dealing with data quality issues or working with traders, we want to know how you tackle challenges head-on.
Apply Through Our Website: Remember to apply directly through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, if you have questions, our Recruitment team is just a form away!
How to prepare for a job interview at Optiver US LLC
✨Know Your Data Inside Out
Make sure you have a solid grasp of market data concepts, especially how they relate to trading systems. Brush up on the differences between tick data and aggregated data, and be ready to discuss latency issues or data quality problems. This will show that you understand the nuances of the role.
✨Prepare for Technical Questions
Since the role involves working with SQL and Python, be prepared to answer technical questions or even solve problems on the spot. Practise writing queries or scripts that could help in data validation or automation. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Business Context
Familiarise yourself with how market data impacts trading and research. Be ready to discuss how you would translate trading requirements into actionable data solutions. Showing that you can think from a trader's perspective will set you apart from other candidates.
✨Communicate Clearly with Non-Technical Stakeholders
You’ll need to explain complex data issues to those who may not have a technical background. Practise simplifying technical jargon into layman's terms. This skill is crucial for ensuring everyone understands the implications of data-related decisions.