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For Companies At a Glance
- Tasks: Ensure market data integrity and enhance automated quality checks across trading systems.
- Company: Globally recognised multi-strategy investment firm at the forefront of finance.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Why this job: Join a fast-paced environment and make a real impact in the finance world.
- Qualifications: 3-5 years in data engineering, strong Python skills, and analytical mindset.
- Other info: Ideal for those passionate about financial markets and eager to learn.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Data Quality Engineer role at a globally recognised multi-strategy investment firm. This hands-on position focuses on ensuring the integrity of market data across the trading lifecycle, with emphasis on precision, scale, and reliability. The firm operates at the forefront of systematic and discretionary investing and places data at the heart of its decision-making.
Responsibilities
- Partner with engineering and trading teams to monitor and validate market data across multiple asset classes, including equities and futures.
- Build and enhance automated data quality checks tailored to different data types (e.g., L1, L2, L3).
- Support the alignment of real-time and historical data feeds, ensuring consistency across systems.
- Contribute to the development of proactive monitoring tools and alerting mechanisms to detect anomalies.
- Investigate and resolve data discrepancies, collaborating with internal stakeholders and external vendors.
- Document data quality metrics, issue resolution workflows, and best practices.
- Continuously improve data quality frameworks through automation and process optimisation.
Qualifications / Ideal Candidate Profile
- 3-5 years of experience in data engineering, data quality, or a related technical discipline.
- Strong Python skills, particularly for data validation, automation, and analysis.
- Familiarity with market data feeds (e.g., L1/L2/L3) and vendors such as Bloomberg or Refinitiv is advantageous.
- Solid understanding of data pipelines, ETL processes, and real-time data systems.
- Analytical mindset with a keen eye for detail and a proactive approach to problem-solving.
- Excellent communication skills and a collaborative attitude.
- Interest in financial markets or prior experience in a trading or investment environment is a plus.
Job details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Investment Management
Next steps
If you feel the above fits with your experience and are ready to join a fast paced and high performing fund, apply today!
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Data Quality Engineer (Market Data) - Tier 1 Hedge Fund employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Engineer (Market Data) - Tier 1 Hedge Fund
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at hedge funds or in data roles. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or GitHub repos showcasing your Python prowess and data quality checks, make sure to highlight them during interviews. It’s all about proving you can walk the walk!
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of data pipelines, ETL processes, and market data feeds. Being able to discuss these topics confidently will set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Quality Engineer (Market Data) - Tier 1 Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Quality Engineer role. Highlight your Python skills and any experience with market data feeds, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data quality and how your background aligns with our needs. Be specific about your experience in data engineering and problem-solving.
Showcase Your Analytical Skills: In your application, give examples of how you've tackled data discrepancies or improved data quality in previous roles. We love seeing a proactive approach to challenges!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us.
How to prepare for a job interview at Selby Jennings
✨Know Your Data
Make sure you brush up on your knowledge of market data feeds, especially L1, L2, and L3. Familiarise yourself with how these data types work and their importance in trading. Being able to discuss specific examples will show your understanding and passion for the role.
✨Showcase Your Python Skills
Since strong Python skills are crucial for this position, prepare to demonstrate your coding abilities. Consider bringing a small project or example of automated data quality checks you've built. This will not only highlight your technical skills but also your hands-on experience.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical mindset and problem-solving approach. Think of scenarios where you've had to investigate data discrepancies or improve data quality frameworks. Be ready to explain your thought process and the steps you took to resolve issues.
✨Communicate Effectively
As collaboration is key in this role, practice articulating your thoughts clearly and concisely. Prepare to discuss how you've worked with engineering and trading teams in the past. Good communication can set you apart, so don’t underestimate its importance!
