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- Tasks: Analyse financial data and provide insights to senior stakeholders.
- Company: Hays is a leading recruitment agency in the UK, known for connecting talent with top employers.
- Benefits: Enjoy a hybrid work model and competitive pay within IR35 regulations.
- Why this job: Join a dynamic team and make an impact in the financial sector with your analytical skills.
- Qualifications: 6-8+ years in banking, proficiency in Power BI, SQL, Python, or R required.
- Other info: This is a temporary role with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
Hays is recruiting for a Senior Market Data Analyst on a contractual basis to analyse financial data from various regions and provide insightful analysis to senior stakeholders.
Key Responsibilities:
- Analyse data to identify trends and patterns.
- Provide insights and recommendations based on market data trends.
- Develop Bloomberg usage profiles.
- Utilise knowledge of fixed income markets for analysis.
- Conduct benchmarking to identify industry standards.
- Evaluate alternative data sources for enhanced insights.
Requirements:
- 6-8+ years of experience in banking and market data.
- Understanding of financial markets and investment banking operations.
- Ability to analyse large financial datasets.
- Proficiency in tools like Power BI, SQL, Python, or R.
For more details, interested candidates are encouraged to apply as soon as possible.
Senior Market Data Analyst | London, UK | Hybrid employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Market Data Analyst | London, UK | Hybrid
✨Tip Number 1
Familiarise yourself with the latest trends in financial markets and investment banking operations. This knowledge will not only help you during interviews but also demonstrate your passion and commitment to the role.
✨Tip Number 2
Brush up on your technical skills, especially in tools like Power BI, SQL, Python, or R. Consider working on a small project or case study that showcases your ability to analyse large datasets effectively.
✨Tip Number 3
Network with professionals in the industry, particularly those who work in market data analysis. Attend relevant webinars or local meetups to gain insights and potentially get referrals for the position.
✨Tip Number 4
Prepare to discuss specific examples of how you've provided insights and recommendations based on market data trends in your previous roles. This will help you stand out as a candidate who can add immediate value.
We think you need these skills to ace Senior Market Data Analyst | London, UK | Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 6-8+ years of experience in banking and market data. Emphasise your proficiency in tools like Power BI, SQL, Python, or R, and showcase any relevant projects that demonstrate your ability to analyse large financial datasets.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Senior Market Data Analyst position. Discuss your understanding of financial markets and investment banking operations, and how your skills can contribute to providing insights and recommendations based on market data trends.
Highlight Relevant Experience: When detailing your work experience, focus on specific examples where you analysed data to identify trends and patterns. Mention any benchmarking activities you've conducted and how you evaluated alternative data sources for enhanced insights.
Proofread Your Application: Before submitting your application, take the time to proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Hays
✨Showcase Your Analytical Skills
As a Senior Market Data Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've identified trends and patterns in financial datasets. Highlight any tools you've used, like Power BI or SQL, to support your analysis.
✨Demonstrate Industry Knowledge
Understanding the financial markets and investment banking operations is key for this role. Brush up on current market trends and be ready to discuss how they impact decision-making. This will show that you are not only qualified but also engaged with the industry.
✨Prepare for Technical Questions
Expect technical questions related to your proficiency in tools like Python or R. Review common data analysis techniques and be ready to explain your thought process when solving problems. This will demonstrate your expertise and confidence in handling complex datasets.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask insightful questions about the company's approach to market data analysis. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
