At a Glance
- Tasks: Join our team to manage market data contracts and support compliance efforts.
- Company: Qube Research & Technologies is a global leader in quantitative investment management.
- Benefits: Enjoy a healthy work-life balance with flexible working options and corporate perks.
- Why this job: Be part of an innovative culture that values collaboration and problem-solving.
- Qualifications: Bachelor's degree and 1-3 years of market data experience required.
- Other info: Diversity is key to our success; we welcome applicants from all backgrounds.
The predicted salary is between 28800 - 48000 £ per year.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
We're looking for a Market Data Analyst to join our Market Services team in London to support the selection, onboarding, compliance and oversight of market data across the firm.
Your future role within QRT includes:
- Managing contracts and maintaining an accurate database of current and historical agreements
- Updating the inventory system with pricing records, usernames, departments, and other key data
- Leading vendor relationships, including handling day-to-day queries and information requests
- Supporting regulatory requirements, including month-end reporting to exchanges
- Assisting with the development and adoption of new tooling to improve team efficiency
- Contributing to a wide range of market data-related projects
- Ensuring clear links between contracts, pricing records, and user banding limits
- Preparing documentation and materials for audits as needed
- Processing and reconciling market data invoices accurately and in line with the procurement cycle
Your present skillset:
- Bachelor’s degree in Computer Science, Business, or a related field
- 1–3 years of experience in market data
- Familiarity with exchanges and vendors (e.g. LSE, NYSE, Bloomberg, FactSet, Refinitiv)
- Exposure to permissioning systems such as DACS or EMRS
- Strong Excel skills, with the ability to analyse and clearly present large datasets
- Excellent attention to detail and accuracy in data handling
- Strong communication skills, with the ability to summarise and explain information clearly
- Familiarity with inventory systems such as MDM and access control processes is a plus
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Market Data Analyst - Qube Research and Technologies employer: Qube Research and Technologies
Contact Detail:
Qube Research and Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Analyst - Qube Research and Technologies
✨Tip Number 1
Familiarise yourself with the specific market data vendors mentioned in the job description, such as Bloomberg and Refinitiv. Understanding their systems and how they operate will give you an edge during interviews.
✨Tip Number 2
Brush up on your Excel skills, particularly in data analysis and presentation. Being able to demonstrate your proficiency with large datasets can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with vendor relationships and compliance processes. Think of specific examples where you've successfully managed these aspects in previous roles.
✨Tip Number 4
Showcase your attention to detail by preparing for potential case studies or practical tests that may be part of the interview process. Highlighting your accuracy in data handling will resonate well with the hiring team.
We think you need these skills to ace Market Data Analyst - Qube Research and Technologies
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in market data analysis, particularly any familiarity with exchanges and vendors like LSE or Bloomberg. Use specific examples to demonstrate your skills in managing contracts and handling data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background in Computer Science or Business aligns with their needs, and discuss your experience with inventory systems and data handling.
Showcase Your Technical Skills: Emphasise your strong Excel skills and any experience with permissioning systems like DACS or EMRS. Provide examples of how you've used these tools to analyse and present large datasets effectively.
Highlight Communication Abilities: Since strong communication skills are essential for this role, include examples of how you've successfully summarised complex information or collaborated with teams. This will show that you can handle vendor relationships and regulatory requirements effectively.
How to prepare for a job interview at Qube Research and Technologies
✨Know Your Data
As a Market Data Analyst, you'll be dealing with large datasets. Make sure you brush up on your Excel skills and be prepared to discuss how you've previously managed and analysed data. Be ready to provide examples of how you've used data to solve problems.
✨Understand the Industry
Familiarise yourself with key exchanges and vendors like LSE, NYSE, Bloomberg, and FactSet. Showing that you have a solid understanding of the market data landscape will demonstrate your commitment and readiness for the role.
✨Highlight Your Communication Skills
Strong communication is crucial in this role. Prepare to discuss how you've effectively communicated complex information in the past. Think of examples where you summarised data for stakeholders or collaborated with teams to achieve a common goal.
✨Prepare for Technical Questions
Expect questions related to permissioning systems and inventory management. Brush up on your knowledge of tools like DACS or EMRS, and be ready to explain how you've used similar systems in your previous roles.