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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.
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 discussions.
✨Tip Number 2
Brush up on your Python skills, particularly in scripting for data validation and automation. Being able to demonstrate your ability to develop lightweight scripts can set you apart from other candidates.
✨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.
✨Tip Number 4
Prepare to discuss your experience with real-time data feeds and how you've handled data quality exceptions in past roles. Concrete examples will showcase your problem-solving skills and operational expertise.
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 your hands-on experience with data from providers like Bloomberg and Reuters, as well as your proficiency in Python scripting.
Craft a Strong Cover Letter: In your cover letter, explain why you are a great fit for the Data Operations Engineer role. Mention specific examples of how you've managed and validated reference data in previous positions, and how your skills align with the job requirements.
Showcase Relevant Skills: Clearly outline your understanding of Security Master data and enterprise data models. Highlight your familiarity with real-time data feeds and your ability to troubleshoot data quality exceptions, as these are crucial for the role.
Proofread Your Application: Before submitting your application, take the time to proofread it for any spelling or grammatical errors. A polished application reflects your attention to detail, which is essential in a data-focused role.
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 data from vendors like Bloomberg or Reuters, as this will demonstrate your expertise in the field.
✨Demonstrate Technical Skills
Since the role requires proficiency in Python scripting, be ready to talk about any relevant projects you've worked on. You might even want to prepare a small example of a script you've written for data validation or automation to showcase your skills during the interview.
✨Understand the Business Context
Familiarise yourself with the hedge fund's operations and the specific challenges they face in managing market data. This will allow you to tailor your responses and show that you understand the importance of data quality in trading environments.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding data quality exceptions and real-time data management. Think of scenarios where you've successfully resolved issues in the past and be ready to explain your thought process.
