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- Tasks: Support market data management and ensure quality standards in a dynamic team.
- Company: Leading financial institution in Greater London with a focus on innovation.
- Benefits: Collaborative environment, career growth, and opportunities to drive change.
- Why this job: Kickstart your career in finance while working with cutting-edge data analytics.
- Qualifications: 2:1 degree in Finance or quantitative discipline; familiarity with SQL and Python.
- Other info: Ideal for early-career professionals looking to make an impact.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial institution in Greater London is seeking a Market Data Analyst to join their Market Data Analytics Team. This early-career role (1-3 years' experience) requires strong analytical and numerical skills, with responsibilities including supporting market data management and maintaining quality standards.
Candidates should hold at least a 2:1 degree in Finance or a quantitative discipline and have familiarity with tools like SQL and Python. This position offers a collaborative environment, aimed at driving innovation and empowerment.
Market Data Risk Analyst — Data Quality & Analytics in London employer: ING Group
Contact Detail:
ING Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Risk Analyst — Data Quality & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data analytics space on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on that Market Data Risk Analyst role.
✨Tip Number 2
Brush up on your SQL and Python skills! Consider doing a quick project or two to showcase your abilities. Having a solid grasp of these tools will definitely make you stand out when you’re chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Research common questions for Market Data Analysts and practice your responses. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Market Data Risk Analyst — Data Quality & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical and numerical skills, especially if you've got experience with SQL and Python. We want to see how your background fits the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Market Data Analyst position and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight any experiences where you tackled complex problems or improved processes. We’re all about innovation here at StudySmarter, so let us know how you think outside the box!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at ING Group
✨Know Your Numbers
Brush up on your analytical and numerical skills before the interview. Be prepared to discuss how you've used these skills in past experiences, especially in relation to market data management. Having specific examples ready will show that you can handle the responsibilities of the role.
✨Familiarise with SQL and Python
Since familiarity with SQL and Python is key for this position, make sure you can talk about your experience with these tools. Consider preparing a small project or example where you used them effectively, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Understand Market Data Quality Standards
Research what quality standards are typically expected in market data management. Being able to discuss these standards and how you would maintain them will show that you’re proactive and understand the importance of data integrity in the financial sector.
✨Show Your Collaborative Spirit
This role is all about collaboration, so be ready to share examples of how you've worked well in teams. Highlight any experiences where you contributed to a group project or helped drive innovation, as this aligns perfectly with the company’s values.
