Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage and validate market data, ensuring accuracy and integrity.
- Company: Join a leading hedge fund known for its success in financial markets.
- Benefits: Enjoy flexible working arrangements and opportunities for professional growth.
- Why this job: Be part of a dynamic team impacting real-time trading decisions.
- Qualifications: Experience in market data operations and proficiency in Python required.
- Other info: Ideal for those passionate about finance and data technology.
The predicted salary is between 36000 - 60000 £ per year.
We are hiring a Data Operations Engineer to join one of the world's most successful hedge funds, supporting the Market Data and Reference Data team during a critical coverage period. This is a hands-on role focused on real-time data quality, vendor integration, and operational ownership - ideal for professionals with strong market data and commodities experience in fast-paced financial environments.
Key Responsibilities
- Manage and validate reference data across securities, pricing, accounts, and client data.
- Ensure data accuracy and integrity from vendor feeds (e.g., Bloomberg, Reuters, IHS Markit, ICE).
- Handle Security Master data updates, monitoring, and exception resolution.
- Collaborate with internal stakeholders to support real-time data needs across trading desks.
- Develop lightweight Python scripts for automation, validation, and monitoring tasks.
- Support client-driven enhancements and maintain vendor relationships.
- Monitor and troubleshoot real-time and static data pipelines.
- Assist in the integration of data APIs, particularly for Options and Futures products.
Required Skills and Experience
- Proven experience in Market Data or Reference Data Operations within financial services.
- Strong understanding of Security Master and enterprise data models (pricing, accounts, instruments).
- Hands-on experience with data from Bloomberg, Reuters, ICE, or similar providers.
- Working knowledge of commodities and futures - ideally crude oil, power, gas.
- Proficiency in Python scripting for data validation and automation.
- Familiarity with real-time data feeds and managing data quality exceptions.
- Prior experience supporting trading or portfolio management teams in an operational capacity.
- Excellent communication skills and ability to liaise with both internal and external stakeholders.
Reference Data Operations employer: Glocomms
Contact Detail:
Glocomms Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reference Data Operations
✨Tip Number 1
Familiarise yourself with the specific market data vendors mentioned in the job description, such as Bloomberg and Reuters. Understanding their systems and how they integrate with reference data will give you a significant edge during interviews.
✨Tip Number 2
Brush up on your Python skills, particularly in scripting for data validation and automation. Consider working on small projects or exercises that demonstrate your ability to handle real-time data processing, as this will be crucial for the role.
✨Tip Number 3
Network with professionals in the hedge fund industry, especially those who work in data operations. Engaging with them can provide insights into the role and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your experience with managing data quality exceptions and your understanding of Security Master data models. Be ready to share specific examples from your past roles that highlight your problem-solving skills in fast-paced environments.
We think you need these skills to ace Reference Data Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Market Data and Reference Data Operations. Emphasise any hands-on roles you've had, particularly those involving vendor integration and data quality management.
Craft a Strong Cover Letter: In your cover letter, explain why you're a great fit for the Data Operations Engineer role. Mention specific experiences with Bloomberg, Reuters, or similar providers, and how your skills in Python scripting can benefit the team.
Showcase Relevant Skills: Clearly outline your proficiency in managing reference data, handling Security Master updates, and your understanding of commodities and futures. Use examples to demonstrate your problem-solving abilities in real-time data environments.
Proofread Your Application: Before submitting, carefully proofread your application for any errors. Ensure that your language is professional and that you’ve addressed all key responsibilities and required skills mentioned in the job description.
How to prepare for a job interview at Glocomms
✨Showcase Your Market Data Knowledge
Make sure to highlight your experience with market data and reference data operations. Be prepared to discuss specific examples of how you've managed and validated reference data, particularly from vendors like Bloomberg or Reuters.
✨Demonstrate Technical Skills
Since the role requires proficiency in Python scripting, be ready to talk about your past projects involving automation and data validation. If possible, bring along examples of scripts you've developed that relate to data quality or integration.
✨Understand the Financial Environment
Familiarise yourself with the commodities and futures markets, especially if you have experience in crude oil, power, or gas. Being able to discuss current trends or challenges in these areas will show your depth of knowledge and interest in the field.
✨Prepare for Stakeholder Interaction
Given the collaborative nature of the role, think of instances where you've successfully liaised with internal and external stakeholders. Be ready to explain how you handled communication and resolved any issues that arose during your previous roles.
